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Computational Neuroscience

repo: eselkin/awesome-computational-neuroscience
category: Health and Social Science related: Neuroscience

Awesome Computational Neuroscience Awesome

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Computational neuroscience is a multidisciplinary science that joins biology/neuroscience, medicine, biophysics, psychology, computer science, mathematics, and statistics to study the nervous system using computational approaches.

This list of schools and researchers in computational neuroscience, theoretical neuroscience, (and systems neuroscience) aims to give a global perspective of researchers in the field, make it easier to apply to the listed institutions, and also provide a reasonable way to find an advisor.

In addition to names of PIs, excerpts of their academic biographies, and links to their publications, many of the researchers are qualified with a small scale "+/=/- computational." The metric is subjective to the editor of that material but it generally breaks down as: (+) refers to a researcher the university identifies as a computational neuroscientist, their bio consistently identifies a significant component of their research is in the field, and they have a significant body of work in the field. (=) refers to the fact that the university identifies them as practicing computational research and they have occasionally produced articles in the field. (-) means that the university identifies them as practicing computational neuroscience, their bio might also mention it, but articles could not be found that represent this material. As with ratings, this metric might change for a researcher over time as they publish more.

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Europe

Germany

INI

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PI(Ph.D.s) Research Areas Research +/=/- computational
Cheng, Sen Our first approach is modeling, including mathematic models as well as computer simulation of complex networks. While all models are simplified, we aim to build biologically realistic models that capture the essence of the neural circuit mechanism underlying learning and memory. Our second approach is data-mining. We develop methods for model-based data analysis and apply such methods to experimental data. These data include electrophysiological and EEG recordings as well as behavioral data. We collaborate closely with neuroscientists on the RUB campus and at other universities in Germany and abroad. Lab +

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Italy

SISSA

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PI(Ph.D.s) Research Areas Research +/=/- computational
Treves, Alessandro Hippocampal Processing: The aim is to understand how the hippocampus contributes to memory, focusing on modelling coding strategies within each structure of the hippocampal formation (e.g. self-organization of grid representations), as well as interactions between different structures. Neural Basis of Language: The aim is to describe network behaviour that could subserve Language production. A class of reduced Potts models of large semantic associative networks, endowed with adaptation, naturally displays Latching dynamics, i.e. hopping from one attractor to the next. Such dynamics may be associated with a network capacity for infinite recursion, which is considered as the core of several higher cognitive functions. Google +

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Norway

NTNU

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PI(Ph.D.s) Department Research Areas Research +/=/- computational
Moser, Edvard Ingjald Kavli Institute for Systems Neuroscience The Moser group implements and develops tools for large-scale brain recordings using standard tetrode recording as well as recently introduced high-site-count silicon probes (meaning they can sample from a particular brain area with high-resolution). In addition, they use portable two-photon microscopes for high-resolution optical imaging of neuronal activity. This means they can record the brain signal of many neurons, while the mice are allowed to freely move through the environment. Lab +?
Moser, May-Britt Kavli Institute for Systems Neuroscience The Moser group implements and develops tools for large-scale brain recordings using standard tetrode recording as well as recently introduced high-site-count silicon probes (meaning they can sample from a particular brain area with high-resolution). In addition, they use portable two-photon microscopes for high-resolution optical imaging of neuronal activity. This means they can record the brain signal of many neurons, while the mice are allowed to freely move through the environment. Lab +?
Witter, Menno P. Kavli Institute for Systems Neuroscience Witter’s team uses genetically engineered animals and non-infectious viral tracers to fluorescently visualize specific cell types and connections within the entorhinal cortex. After identifying cell types and connections, the team can turn specific cells on and off with laser beams (a technique known as optogenetics) and then study the effect of this manipulation on the rest of the circuit. Lab +
Kentros, Clifford Kavli Institute for Systems Neuroscience The Kentros laboratory uses mouse molecular genetic techniques to address the neural circuitry underlying learning and memory. Combining the anatomical specificity of mouse molecular genetics with in vivo recordings from awake, behaving animals gives an edge to analyzing the functional circuitry of memory. Google +
Roudi, Yasser Kavli Institute for Systems Neuroscience Roudi’s team uses mathematical tools from the field of theoretical physics to analyse big datasets, to develop models that draw out neural mechanisms in big datasets, and to identify and describe universal principles in biological systems. Lab +
Whitlock, Jonathan Kavli Institute for Systems Neuroscience The Whitlock group uses several tools to tackle their research questions: (1) a tracking and visualization software (developed in-house), which follows and records a rat’s movement through three-dimensional space and (2) electrophysiological recordings of the rat’s brain while it moves through that three-dimensional space. These two pieces of information (behavior and neural activity) are then analyzed using statistical methods. The parallel anatomical work in mice used tracers and markers to map out the circuits of the PPC. Google +
Yakse, Emre Kavli Institute for Systems Neuroscience The Yaksi group uses two-photon microscopy, electrophysiology, genetic and applied mathematical tools to measure and analyze neural activity across the whole brain of awake, behaving juvenile zebrafish in naturalistic and virtual reality environments. Lab +
Doeller, Christian Medicine and Neuroscience The Doeller and Kaplan group uses neuroimaging techniques such as functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) to investigate brain systems that support learning, memory, and decision making. The former technique boasts relatively good “spatial resolution” (the ability to detect where a signal is coming from) while the latter boasts good “temporal resolution” (the ability to detect when a signal occurs). By combining this data with electrophysiological recordings from rodents, the team is able to paint a more comprehensive picture of the link between entorhinal brain signals and general cognition. ... Our framework is concerned with the key idea that this navigation system in the brain—potentially as a result of evolution—provides a fundamental neural metric for human cognition. Lab +?
Kaplan, Raphael Samuel Matthew Kavli Institute for Systems Neuroscience See Doeller lab Google +?

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Switzerland

EPFL

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PI(Ph.D.s) Research Areas Research +/=/- computational
Gerstner, Wulfram As director of the Laboratory of Computational Neuroscience LCN at the EPFL, Wulfram Gerstner conducts research in computational neuroscience with special emphasis on models of spiking neurons, spike-timing dependent plasticity, and reward-based learning in spiking neurons. The questions on learning in spiking neurons are linked to the problem of neuronal coding in single neurons and populations. His teaching concentrates on learning in formal models and biological systems. Google +
Mathis, Mackenzie The goal of the laboratory is to reverse engineer the neural circuits that drive adaptive motor behavior by studying artificial and natural intelligence. We hope that by understanding the neural basis of adaptive motor control we can open new avenues in therapeutic research for neurological disease, help build better machine learning tools, and crucially, provide fundamental insights into brain function. Google +
Mathis, Alexander My work strives to understand how the brain creates complex behavior. To achieve that goal, in part, I develop tools for accurate measurement of behavior and make sure that they are broadly accessible for the community. Secondly, I make models and theories to elucidate how the brain gives rise to adaptive behaviors with a specific focus on motor control and sensorimotor learning. Google +
Blanke, Olaf The Blanke Lab has three missions – the neuroscientific study of consciousness, the adaptation and development of technologies for human neuroscience, and the development of cognitive neuroprostheses in clinical research. Google +
Herzog, Michael In the Laboratory of Psychophysics, we investigate visual information processing in human observers with psychophysical methods, TMS, EEG, and mathematical modelling. Main topics of research are: feature integration, contextual modulation, time course of information processing, and perceptual learning. In clinical studies, deficits of visual information processing are investigated in schizophrenic patients. Google +
Lacour, Stéphanie Bioelectronics integrates principles of electrical engineering to biology, medicine and ultimately health. My lab challenges and seeks to advance our fundamental concepts in man-made electronic systems applied to biology. Specifically, the focus is on designing and manufacturing electronic devices with mechanical properties close to those of the host biological tissue so that long-term reliability and minimal perturbation are induced in vivo and/or truly wearable systems become possible. We use fabrication methods borrowed from the MEMS and microelectronics industries and adapt them to soft substrates like elastomers. We develop novel characterization tools adapted to mechanically compliant bioelectronic circuits. We evaluate in vitro, in animal models and ultimately on humans our soft bioelectronic interfaces Google =
Hummel, Friedhelm The research focus of the Hummel Lab is on systems and translational neuroscience. The main research topics are targeted towards neuroplasticity, neuronal control of sensorimotor function, motor skill acquisition and learning, healthy aging and especially on functional reorganization and recovery after focal Brain lesions by using multimodal systems neurosciences approaches including modern neuroimaging, brain stimulation and psychophysical and clinical evaluations. We are especially interested in the understanding of underlying mechanism of healthy aging and of functional regeneration after focal brain lesions, such as after stroke or traumatic brain injury and how they can be modulated, e.g. by non-invasive brain stimulation with overarching goal to translate the knowledge from “bench” to daily life clinical "bedside". One of our main characteristics is the multimodal methodological expertise in our lab. As such we use modern neuroimaging and neurostimulation. Google +
Shoaran, Mahsa Our research at INL lies at the intersection of circuit design, machine learning, and neuroscience, and our mission is to develop new diagnostic and therapeutic devices for neurological and neuropsychiatric disorders. We use advanced circuit design techniques to build low-power and miniaturized system-on-chips (SoCs) that can record neural activity, detect brain dysfunction in real time, and respond by therapeutic intervention such as neurostimulation. We use machine learning techniques for accurate detection of neurological symptoms in closed-loop neural implants, and for motor decoding in brain-machine interface systems. Google +
Markram, Henry The Laboratory of Neural Microcircuitry (LNMC), headed by Professor Henry Markram, is dedicated to understanding the structure, function and plasticity of the neural microcircuits, with emphasis on the neocortex. Google +
Fua, Pascal The research activities of the Computer Vision Laboratory focus on shape and motion recovery from images, object and people detection and tracking in video sequences, and analysis of brain microscopy image-stacks. CVLab also provides undergraduate and graduate teaching and performs technology transfer to both established and start up companies. Google +
Hess Bellwald, Kathryn Her research focuses on algebraic topology and its applications, primarily in the life sciences, but also in materials science. She has published extensively on topics in pure algebraic topology including homotopy theory, operad theory, and algebraic K-theory. On the applied side, she has elaborated methods based on topological data analysis for high-throughput screening of nanoporous crystalline materials, classification and synthesis of neuron morphologies, and classification of neuronal network dynamics. She has also developed and applied innovative topological approaches to network theory, leading to a powerful, parameter-free mathematical framework relating the activity of a neural network to its underlying structure, both locally and globally. Google +
Van De Ville, Dimitri I want to advance our understanding of the human body, in particular of brain function in health and disorder using non-invasive imaging techniques. To that aim, I pursue the development of methodological tools in signal and image processing to probe into network organization and dynamics, at various stages of the acquisition, processing, and analysis pipeline. Google +
Courtine, Grégoire Our mission is to design innovative interventions to restore sensorimotor functions after CNS disorders, especially spinal cord injury, and to translate our findings into effective clinical applications capable of improving the quality of life of people with neuromotor impairments. Google =
Ramdya, Pavan P We use genetics, microscopy, modeling, and quantitative behavioral analysis to understand how the brain works. Google +

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North America

Canada

Ontario

University of Waterloo
  • Theoretical Neuroscience
  • Apply: Apply to established graduate department (e.g. <a href="https://uwaterloo.ca/graduate-studies-academic-calendar/mathematics/department-applied-mathematics/doctor-philosophy-phd-applied-mathematics#admission_requirements ">Applied Math</a>, <a href="https://uwaterloo.ca/graduate-studies-academic-calendar/mathematics/david-r-cheriton-school-computer-science/doctor-philosophy-phd-computer-science">Computer science</a>, <a href="https://uwaterloo.ca/graduate-studies-academic-calendar/arts/department-psychology/doctor-philosophy-phd-psychology">Psychology</a>, <a href="https://uwaterloo.ca/graduate-studies-academic-calendar/mathematics/department-statistics-and-actuarial-science/doctor-philosophy-phd-statistics">Statistics</a>)
  • For CS a GRE is required if you have not completed a Bachelor's degree in a North American university with English as a primary language.

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PI(Ph.D.s) Research Areas Research +/=/- computational
Anderson, Britt Dr. Anderson combines computational and empirical approaches in the study of spatial attention and general cognitive ability. Lab +
Campbell, Sue Ann Her main research interest is in the mathematical modelling of neural systems at the single cell and small network level. Google +
Danckert, James Dr. Danckert’s research explores the role of parietal cortex in the control of visually guided actions and examines the consequences of injury to this part of the brain. Google =
Eliasmith, Chris With Charles Anderson, I have developed a general method for building large-scale, biologically detailed models of neural systems. I have applied this method in a variety of contexts, including rat navigation, working memory, lamprey swimming, hemineglect, and language-based reasoning. Google +
Fugelsang, Jonathan To understand the mechanisms underlying these processes, I use both behavioural and functional brain imaging (e.g., ERP, Functional Magnetic Resonance Imaging
fMRI
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Ingalls, Brian (More computational biology than neuroscience) We use mathematical models and experimental methods to investigate the behaviour of intracellular molecular networks and cell-to-cell interactions. This work ranges from fundamental studies of biology to applications in biotechnology and health Google +
Kapre, Nachiket (CS only, unrelated) Digital systems, Embedded computing systems, Reconfigurable computing, FPGA Architecture, Applications, Compilers Google +
Marriott, Paul (Applied math, some NS) His interests focus on using geometric ideas, for example differential or convex geometry in statistics. He has recently been working on geometric methods to understand mixture models. Google +
Orchard, Jeff My research aim is to uncover mechanisms that underlie the computational and organizational aspects of the brain. For example, what function does feedback play in our brains, and how do our expectations influence our perceptions? I study these questions by modelling neural networks. Google +
Spafford, J. David Major projects in Dr. Spafford's lab focus on the: a) cellular and molecular mechanisms underlying calcium channel expression and localization in developing synapses; b) modulation of calcium channel function by G proteins, phosphorylation and synaptic proteins; c) isolation and characterization of anti-calcium channel toxins for caveolin 1 (Cav1), Cav2 and Cav3 calcium channels. -
Tripp, Bryan The central goal of the lab is to develop increasingly realistic computer/robotic models of the dorsal visual pathways and the networks that control eye and limb motion. Google +

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United States

U.S. West

California Institute of Technology

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PI(Ph.D.s) Research Areas Research +/=/- computational
Abu-Mostafa, Yaser The Learning Systems group at Caltech works on the theory, implementation, and application of automated learning, pattern recognition, and neural networks. We are an interdisciplinary group with students coming from Electrical Engineering, Computer Science, Mathematics, and Physics. We work on a variety of projects analyzing and synthesizing systems that can be trained to perform their task. Google +
Adolphs, Ralph The Emotion and Social Cognition Lab (aka “The Adolphs Lab”) investigates the neural underpinnings of human social behavior. We are pursuing questions such as: How do we recognize emotion from facial expressions? How do we make social judgments about other people? How do we look at people’s faces (how do we move our eyes when looking at them)? How do we make decisions that are influenced by emotion? How do we remember emotional events in our lives? How do we make moral judgments about what is right and wrong? Lab =
Allman, John We are using a variety of histological methods to visualize the complex structure of these cells and will be performing computer simulations of the cells activity in living brain. We are also pursuing several lines of research investigating evolutionary pressures and scaling relationships in mammalian brains. We have performed computer-assisted imaging of living and fixed brains of modern species as well as subfossil and fossil samples of extinct species. Google +
Ames, Aaron Bipedal robotics, hybrid systems, Zeno behavior, prosthetic devices. Theoretical foundations with practical applications to human inspired bipedal walking, Hybrid mechanical systems with a special emphasis on bipedal robots;Hybrid stability theory and its relationship to Zeno behavior;Hybrid geometric mechanics with a focus on hybrid geometric reduction and geometric control; Hybrid topology, geometry and homology; Novel Applications such as Prosthetics Lab +
Anandkumar, Anima Tensors (seminal work). Democratizing ML. Fairness. PhD students and postdoctoral candidates with strong foundation in machine learning, statistics, and algorithms. Lab =
Andersen, Richard One project in the lab is to develop a cognitive-based neural prosthesis for paralyzed patients;We have been examining the coordinate frame for coordinated movements of the hand and eyes;We have been examining decision making in parietal-frontal circuits;A 4.7 Tesla vertical magnet for monkey imaging has recently been installed at Caltech. We are using this magnet, combined with neural recordings, to examine the correlation between neural activity and fMRI signals. Lab +
Anderson, David Research in this laboratory is aimed at understanding the neurobiology of emotion. We seek to elucidate how fundamental properties common to emotional states, such as arousal, are encoded in the circuitry and chemistry of the brain and how these internal states combine with sensory stimuli to elicit specific emotional behaviors, such as fear or aggression Lab +
Barr, Alan A source of motivation and long term goal for the research is the creation of tools for simulation and behavioral prediction of mechanical and biophysical structures. The methods are intended to eventually be applied to simulating the behavior of cellular organelles, but also to self-assembling robotic structures as potentially needed for human colonization of space; the same modeling technology can be used for both applications. +
Bruck, Jehoshua We attempt to prove this conjecture by evaluating string replication systems from an information theory perspective, as well as study tandem duplication and interspersed duplication mechanisms. Google +
Burdick, Joel W. Our research group pursues both Robotics and BioEngineering related to spinal cord injury Google +
Camerer, Colin F. Neuroeconomics. Psychology and economics, decision making, business administration, game theory. Google +
Dickinson, Michael studies the neural and biomechanical basis of behavior in the fruit fly, Drosophila. We strive to build an integrated model of behavior that incorporates an understanding of morphology, neurobiology, muscle physiology, physics, and ecology Google +
Elowitz, Michael The Elowitz Lab is interested in how genetic circuits, composed of interacting genes and proteins, enable individual cells to make decisions, oscillate, and communicate with one another Lab +
Gradinaru, Viviana The Gradinaru Lab studies the mechanism of action for deep brain stimulation (DBS), a therapeutical option for motor and mood disorders such as Parkinson’s and depression. Our previous work highlighted the importance of selectively controlling axons and not local cell bodies in modulating behavior, a principle that might play a generalized role across many effective deep brain stimulation paradigms. We are now particularly interested in the long-term effects of DBS on neuronal health, function, and ultimately behavior. Lab +
Hong, Betty (E.J.) Our goal is to understand how molecular diversity at synapses gives rise to useful variation in synaptic physiology, and how this may reflect the specialization of synapses to perform specific useful computations in their respective circuits. Lab +
Konishi, Masakazu Owls. Preditors. The work over the past twenty years has led to a reasonably good understanding of the algorithm for the computation of sound locations in 2 dimensions Google +
Lester, Henry A. The Lester lab uses techniques at the intersection of biophysics, single-molecule imaging, chemistry, mouse genetics, and neuroscience to understand the biophysical basis of ligand-gated ion channels including the nicotinic acetylcholine receptor. Google +
Lois, Carlos Our laboratory is interested in the assembly of brain circuits and the mechanisms by which the activity of neurons in these circuits give rise to behavior. We focus on the process of neuron addition into the vertebrate brain, and seek to understand how new neurons integrate into the circuits of the adult brain, and their role in information processing and storage Google +
Mead, Carver (emeritus) Very diverse history of research spanning gravitation to analog silicon retinas... Lab +
Meister, Markus My goal is to understand the function of neuronal circuits. By "circuit" I mean a brain structure with many neurons that has some anatomical and functional identity, and exchanges signals with other brain circuits Google +
Mobbs, Dean The Mobbs Lab is inspired by insights from the fields of behavioral ecology, social, evolutionary and clinical psychology. Our lab’s main endeavor is to understand the neural and behavioral dynamics of human social and emotional experiences and consequently build new theoretical models that merge multiple fields. We employ brain imaging (e.g. fMRI) and novel behavioral techniques to examine the neurobiological systems that coordinate fear and anxiety in humans. My lab also investigates the proximate and ultimate value of social behavior. Lab +
Murray, Richard Current projects include integration of control, communications, and computer science in multi-agent systems, information dynamics in networked feedback systems, analysis of insect flight control systems, and synthetic biology using genetically-encoded finite state machines. Lab =
O'Doherty, John The ability to make decisions requires neural machinery that has been honed through evolution to enable animals to learn about the structure of their environment and uncover causal links between their own behavior and the probability of obtaining rewards. A deeper understanding of how the brain does this will not only inspire new theories of decision making, it will also contribute to the development of genuine "artificial intelligence", and it will enable us to understand why some humans are better than others at making decisions, why humans with certain psychiatric disorders or brain lesions are less capable of doing so, and why under some circumstances humans systematically fail to make "rational" decisions. The goal of our research is to unravel the neural computations underlying this process in the human brain. Lab +
Oka, Yuki Our goal is to understand where and how appetites are encoded in the brain... With these thirst-controlling neurons in hand, we are now exploring the downstream and upstream neural circuits to decipher how motivational signals are translated into behavioral outputs. Lab +
Perona, Pietro We are interested in the computational foundations of vision. This knowledge helps us design machine vision systems with applications to science, consumer products, entertainment, manufacturing and defense Google +
Prober, David A. We are using zebrafish as a new model to discover and understand genetic and neuronal circuits that regulate sleep. Lab +
Quartz, Steven Impact of neuroscience advances for many of the traditional problems of mind, ranging from a neurally plausible theory of mental representation, the origin of knowledge, to the formal learning properties of neurally constrained developing systems. =
Rangel, Antonio We study the neural basis of economic decision-making using tools from cognitive neuroscience and experimental economics. The tools that we use include functional magnetic resonance imaging, transcranial magnetic stimulation, and eye tracking. The research team includes neuroscientists, psychologists, and economists. Lab +
Shimojo, Shinsuke We would like to understand how the brain adapts real-world constraints to resolve perceptual ambiguity and to reach ecologically valid, unique solutions Lab =
Siapas, Thanos Our research focuses on the study of information processing across networks of neurons, with emphasis on the neuronal mechanisms that underlie learning and memory formation. Google +
Sternberg, Paul We measure gene expression by RNA-seq and transgenic reporters; we measure behavior using automated systems and optogenetics. We focus on intercellular signals and their transduction by the responding cell into transcriptional outputs. Many of the genes we have identified are the nematode counterparts of human genes, and we expect that some of our findings will apply to human genes as well. Lab +
Tsao, Doris Segmentation (Our lab is pursuing the neural mechanisms underlying segmentation through a variety of approaches including mathematical modeling and development of new experimental models for study of visual segmentation), Recognition, Consciousness, Space, Tools such as ultrasonic neuromodulation, ultrasonic chemogenetics, and high-channel count electrophysiology. Lab +
Winfree, Erik Biomolecular computation, DNA based computation, algorithmic self-assembly, in vitro biochemical circuits, noise and fault-tolerance, DNA and RNA folding, evolution. or Google +
Yue, Yisong Yisong Yue's research interests lie primarily in the theory and application of statistical machine learning. He is more generally interested in artificial intelligence. Currently, he is particularly interested in learning with humans in the loop, interactive learning systems, and spatiotemporal reasoning Lab +

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Stanford University

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PI(Ph.D.s) Research Areas Research +/=/- computational
Airan, Raag precisely deliver drugs to the brain, to mediate more precise control of neural activity, in addition to other therapeutic effects Lab =
Baccus, Stephen A. (Brain-Machine Interfaces,Neuro-circuit interventional research consortium for understanding the brain and improving treatment) We study how the circuitry of the retina translates the visual scene into electrical impulses in the optic nerve...experimental data is used to create mathematical models to predict and explain the output of the retinal circuit. Google +
Chichilnisky, E.J. The goal of our research is to understand how the neural circuitry of the retina encodes visual information, and to use this knowledge in the development of artificial retinas for treating incurable blindness Lab +
Clandinin, Thomas My lab seeks to understand how the brain computes at the cellular and molecular level Lab +
Druckmann, Shaul We seek to relate circuit dynamics to computation by understanding the unique computational style used by the brain Lab +
Etkin, Amit we collaborate with neuroscientists, engineers, psychologists, physicians and others to establish a new intellectual, scientific and clinical paradigm for understanding and manipulating human brain circuits in healthy individuals and for treating psychiatric disease Lab +
Ganguli, Surya we exploit and extend tools and ideas from a diverse array of disciplines, including statistical mechanics, dynamical systems theory, machine learning, information theory, control theory, and high-dimensional statistics, as well as collaborate with experimental neuroscience laboratories collecting physiological data from a range of model organisms, from flies to humans Lab +
Gardner, Justin Using knowledge of the visual system and decision theoretical models of how behavior is linked to cortical activity, we seek to understand the cortical computations that construct human vision Lab +
Ghajar, Jashmid MD, FACS improve the diagnosis and treatment of TBI. To do this, we lead the way in cutting-edge clinical research spanning the spectrum from concussion to coma Lab =
Giocomo, Lisa Giocomo Lab integrates electrophysiology, behavior, imaging, gene manipulations, optogenetics and computational modeling to study how single-cell biophysics and network dynamics interact to mediate spatial memory and navigation Lab +
Grill-Spector, Kalanit Our research utilizes functional imaging (fMRI), computational techniques, and behavioral methods to investigate visual recognition and other high-level visual processes Lab +
Gross, James (Psychology) The goal of this project is to create a computational model that will help us understand the unfolding of emotions at the group level (collective emotion) and to correlate this model with real life events Lab +
Holmes, Susan We use computational statistics, multitable and nonparametric methods such as the bootstrap and MCMC computation of complex posterior distributions to draw inferences about complex biological phenomena Lab +
Huguenard, John Our approach is an analysis of the discrete components that make up thalamic and cortical circuits, and reconstitution of components into both in vitro biological and in silico computational networks Lab +
Knutson, Brian (NeuroChoice), Neural circuit dynamics of drug action Lab +
Lee, Jin Hyung The Lee Lab uses interdisciplinary approaches from biology and engineering to analyze, debug, and manipulate systems-level brain circuits Lab +
Luo, Liqun Organization and function of neural circuits in the mouse and Developing genetic tools to probe neural circuit assembly and organization Lab +
McClelland, Jay ...the primary current focus is on mathematical cognition from Parallel and Distributed Processing site Lab +
Newsome, William Computer modelling techniques are then used to develop more refined hypotheses concerning the relationship of brain to behavior that are both rigorous and testable. This combination of behavioral, electrophysiological and computational techniques provides a realistic basis for neurophysiological investigation of cognitive functions such as perception, memory and motor planning Lab +
Norcia, Anthony Brain mechanisms underlying face and text processing...methods for exploiting the temporal resolution of the EEG to study the dynamics of brain processing... Lab =
Poldrack, Russell Our lab uses the tools of cognitive neuroscience to understand how decision making, executive control, and learning and memory are implemented in the human brain. We also develop neuroinformatics tools and resources to help researchers make better sense of data. Google +
Raymond, Jennifer L. The goal of our research is to understand the algorithms the brain uses to learn Lab +
Schnitzer, Mark J. Development of high-throughput, massively parallel imaging techniques for studying brain function in large numbers of Drosophila concurrently Lab +
Shenoy, Krishna (BMIs), conducts neuroscience, neuroengineering and translational research to better understand how the brain controls movement, and to design medical systems to assist people with paralysis Lab +
Soltesz, Ivan We are interested in how brain cells communicate with each other in the normal brain, and how the communication changes in epilepsy ... highly realistic large-scale supercomputational modeling approaches Lab +
Wagner, Anthony D Current research directions – which combine behavior, brain imaging, virtual reality, and computational approaches Lab +
Williams, Leanne ...Biomedical data sciences and informatics are also essential, not only because of the amount of data we generate, but also because we rely on increasingly sophisticated computational models to understand such complex phenomena as the brain and depression Lab +
Yamins, Daniel Our research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. We seek to "reverse engineer" the algorithms of the brain, both to learn about how our minds work and to build more effective artificial intelligence systems Lab +

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University of California, Berkeley

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PI(Ph.D.s) Research Areas Research +/=/- computational
Banks, Martin Visual space perception and sensory combination Lab +
Bouchard, Kristofer How distributed neural circuits give rise to coordinated behaviors and perception Google +
Carmena, Jose Neural basis of motor skill learning. Application to neural prostheses and development of neural dust technology Google
Collins, Anne Computational modeling of human learning, decision-making, and executive functions.... Computational modeling lets us precisely and quantitatively define theories, make explicit predictions, and investigate how well different information representations work in different environments. Computational modeling may also provide a link to the mechanistic implementation of processes. Lab +
Cooper, Emily Computational modeling of visual perception...We study the statistics of natural images and examine their relevance for visual coding and perception Lab +
Dan, Yang Neural circuits controlling sleep; mechanisms of executive control... Google +
DeWeese, Mike experimental and theoretical neuroscience Google +
Feinberg, David MRI technology development, mapping columnar and visual circuitry, modeling neurovascular coupling. +
Gallant, Jack Identifying cortical maps to discover how the brain represents information about the world and its own mental states... To address this problem, our laboratory makes heavy use of an inductive scientific approach called system identification. System identification is a systematic approach for discovering the computational principles of an unknown system such as the brain. Google +
Li, Lexin Neuroimaging data analysis: brain connectivity and network analysis, imaging causal inference, imaging genetics, longitudinal imaging analysis, multi-modality analysis, tensor analysis; Statistical genetics, computational biology; Dimension reduction, variable selection, high dimensional regressions; Statistical machine learning, data mining, computational statistics Google +
Maharbiz, Michel Building micro- and nano- scale machine interfaces to cells and organisms, including development of neural dust technology. Lab +
Olshausen, Bruno Developing new theoretical frameworks and models of vision Lab +
Sommer, Friedrich Theoretical principles of learning and perception.My lab investigates the theoretical principles of learning and perception and their biological bases in the circuit dynamics of the brain. To study these issues we develop computational models of the brain, as well as advanced techniques of data analysis Google +
Theunissen, Frédéric The overarching goal of our laboratory is to understand how complex natural sounds such as human speech, music and animal vocalizations are detected and recognized by the brain...We use computational methods in neuroscience to generate theories of audition, to study sounds and to analyze our neural data Lab +

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University of California, Davis

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PI(Ph.D.s) Research Areas Research +/=/- computational
Antzoulatos, Evangelos large-scale neural networks that implement cognitive functions Google +
DeBello, William complete wiring diagram of local circuits in the barn owl auditory localization pathway +
Ditterich, Jochen bridging this gap by utilizing both behavioral and neurophysiological methods and by using mathematical models for exploring potential neural mechanisms Google +
Goldman, Mark wide variety of systems and seek to address questions ranging from cellular and network dynamics to sensory coding to memory and plasticity Google +
Hanks, Tim We use the knowledge gained from these experiments to develop and constrain circuit-level descriptions of the computations that underlie decision making. Google +
Nord, Alex (Brain Disease, Disorders), To that end, I perform both experimental work and computational analysis to reveal function of primary DNA sequence, epigenomic modifications, and chromatin structure Google +
Usrey, W. Martin (Chair) Structure, Function and Development of Neural Circuits for Vision Google +

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University of California, Irvine

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PI(Ph.D.s) Department Research Areas Research +/=/- computational
Bornstein, Aaron M. Cognitive Sciences The lab's ongoing research investigates the influence of memories on behavior. Specific projects in progress examine the roles of episodic and working memory in decisions for reward, perceptual inference, drug choice and addiction, and intertemporal choice, using computational model-driven analysis of behavior and brain activity (via fMRI, but with plans for EEG and other methods). Google +
Brewer, Alyssa Cognitive Sciences Our primary areas of research are fundamental visual system organization, visual adaptation and plasticity, and neurodegeneration. The tools we use for our investigations include magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging (DTI), psychophysics, genetic assays, psychopharmacology, mathematical modeling, and surveys. Google +
Chernyak, Nadia Cognitive Sciences Our specific research topics include the development of fairness and prosocial behavior, how we learn from choice and agency, the development of prospection (future-oriented thinking), and how our social contexts and cognitive competencies shape our emerging world views. We typically conduct behavioral studies with young children and adults. Lab -
Chubb, Charlie Cognitive Sciences Research analyzing camouflage: strategies in nature, how to make it and how to break it; A technique to compare the effects of stimulus salience across sensory properties and tasks; Research exploring how and why the time to initiate a response increases with the number of possible choices; Research that explores two functions relating movement speed and accuracy, their generality, and the mechanisms that underlie them; Visual and auditory experiments aimed at figuring out what sorts of variations in physical energy are spontaneously discriminated by human observers. Google +
D'Zmura, Michael Cognitive Sciences The Cognitive NeuroSystems Lab at UC Irvine conducts research on vision, hearing and EEG studies of speech and attention; past work includes studies of search and navigation in 4D virtual environments. Google +
Dosher, Barbara Cognitive Sciences Memory in humans, with emphasis on forgetting and retrieval in explicit and implicit memory; Attention processes and their consequences for perceptual efficiency in information processing; How training in perceptual tasks improves visual performance and its use in cognitive rehabilitation Google +
Grossman, Emily Cognitive Sciences The VPNL uses a combination of functional magnetic resonance imaging (fMRI), transcranial magnetic stimulation (TMS), concurrent TMS and electroencephalography (EEG), and psychophysical techniques to isolate the neural correlates of visual perception. Lab +
Hickok, Gregory Cognitive Sciences Our interests include psycholinguistics, neuropsychology (aphasia, lesion, Wada, developmental disorders), MEG, and fMRI. Recent work has focused on developing an integrative neurocomputational model of speech production, drawing on constructs from (psycho) linguistics, motor control, neuropsychology, and cognitive neuroscience. Google +
Hoffman, Donald D. Cognitive Sciences, Logic and Philosophy of Science machine and human vision, visual recognition, artificial intelligence, virtual reality, consciousness and cognition, shape from motion CV +?
Krichmar, Jeffrey Cognitive Sciences In the Cognitive Anteater Robotics Laboratory (CARL) at the University of California, Irvine, we are designing robotic systems whose behaviors are guided by large-scale simulations of the mammalian brain. Because these simulated nervous systems are embodied on a robot, they provide a powerful tool for studying brain function. Moreover, because these cognitive robots are embedded in the real-world, the system's behavior and function can be tested similarly to that of an animal under experimental conditions. Lab +
Lee, Michael Cognitive Sciences My research involves the development, evaluation, and application of models of cognition including representation, memory, learning, and decision making, with a special focus on individual differences and collective cognition. Much of my research uses naturally occurring behavioral data, and tries to pursue a solution-oriented approach to empirical science, in which the research questions are generated from real-world problems. My methods involve probabilistic generative modeling, and Bayesian methods of computational analysis. Google +
Liljeholm, Mimi Cognitive Sciences Our approach is multidisciplinary, drawing on a wide range of methods from psychology, neuroscience, economics, statistics and machine learning. In particular, we combine innovative experimental designs with computational cognitive modeling and functional MRI, to develop formal accounts of neural and psychological processes. Lab +
Mednick, Sara Cognitive Sciences We are specifically interested in translational research questions that lead to improving the lives of people with cognitive impairments. To accomplish this work, we utilize electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to measure brain activity during sleep and wake. We also use pharmacology and brain stimulation during sleep to improve waking performance. In addition, we use signal processing and computational modeling to reveal patterns in the data not available to the naked eye. Lab +
Narens, Louis Cognitive Sciences, Logic and the Philosophy of Science measurement, logic, metacognition Google +
Neftci, Emre Cognitive Sciences Bridge ML and neuroscience (Lifelong learning machines); Extracting information from unlabeled data; scalable neuromorphic learning machines; On-line, spike-based deep learning and Stochastic Spiking Neural Networks Lab +
Pearl, Lisa Language Science, Cognitive Sciences The main technique of investigation we use is empirically-grounded computational modeling, drawing on constraints from realistic examples of human language and what we know about how humans process language information. Complementary techniques include psycholinguistic methodologies to assess knowledge in children and adults, and human computation methodologies for gathering realistic samples of language use and interpretation. Lab -- winner of most organized publications +
Peters, Megan Cognitive Sciences we use neuroimaging and computational modeling to study how brains represent and use uncertain information and uncertainty itself Lab +
Pizlo, Zygmunt Mathematical Psychology, Cognitive Sciences Our group is studying mental mechanisms (algorithms) involved in cognitive functions. More precisely, we study those cognitive functions that are computationally difficult. A cognitive function is computationally difficult if there is currently no algorithm that can perform this function equally well as the human mind does. This definition includes a lot: perception of shape, motion, color, depth, language understanding, speech recognition, reading, motor control, visuomotor coordination, learning, thinking, problem solving. By studying computationally difficult cognitive functions, we hope to contribute to both: psychology, by understanding cognitive mechanisms, and artificial intelligence, by formulating smart algorithms. Google +
Richards, Virginia Cognitive Sciences My research interests include human perception, cognition, and mathematical psychology as applied to the perception of complex sounds. Using psychophysical techniques, we study the rules governing low-level auditory processing and the possible mechanisms by which multiple sound sources are segregated. Recent work has been aimed at the development and testing of multiple-channel models of masking that depend on both energetic and temporal aspects of complex sounds. At present, the goal is to extend this work into the realm of perceptual organization, including "auditory streaming" and the detection of a target pattern of sounds against a background of distracter sounds. Both psychophysical experiments and the allied processing models depend on digital signal processing techniques in which acoustical features are independently varied, allowing the determination of the relative contribution of the different cues as well as the underlying combination rules. Google +
Rouder, Jeffrey Mathematical Psychology (chair), Cognitive Sciences We develop new statistical methods to address long-standing questions in cognitive psychology. Our substantive interests are in attention, cognitive control, perception, intelligence, and learning; our methodological interests are in Bayesian hierarchical statistical and process models. Google +
Saberi, Kourosh Cognitive Sciences We draw from a number of scientific disciplines that include cognitive sciences, neuroscience, computer science, physics, and philosophy. This interdisciplinary approach allows us to capture converging expertise in exploring fundamental questions in the study of consciousness and the nature of reality. We use empirical, theoretical, and computational techniques in our investigations. Google +
Sarnecka, Barbara Cognitive Sciences Much of my work over the past 20 years has been about how young children acquire number concepts. But in recent years, I've branched out to work on social cognitive development, the development of judgment and decision making, adult moral psychology, and most recently, scientific writing. (Developing and testing ways to help PhD students and other scientists increase their productivity and write more clearly.) Google +?
Srinivasan, Ramesh Cognitive Sciences Our working hypothesis is that cognition involves the interaction between local processes in specific regions of the cortex and global brain networks. We carry out experimental studies using EEG, MEG, TMS, and fMRI on visual and auditory perception and attention, and we use volume conduction and dynamic models to elucidate the neural mechanisms underlying our findings. Google +
Steyvers, Mark Cognitive Sciences Learning & Memory; Cognitive Skill Acquisition; Metacognition; Hybrid human-machine algorithm systems; Wisdom of crowds; Bayesian computational modeling; Machine learning; Joint models for behavior and neuroimaging data Google +
Vandekerckhove, Joachim Cognitive Sciences Current projects include quantitative modeling of cognition and individual differences, Bayesian statistics, and implementation and deployment of useful computational algorithms. I am also interested in quantitative approaches of detecting and undoing some of the societal challenges currently faced by psychological science (such as publication bias, fraud detection, and closed access to scientific literature) and in new design and analysis methods. Lab +
Wright, Charles E. (Ted) Cognitive Sciences See Chubb, Charlie Google +

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University of California, Los Angeles
  • [Admission to UCLA Interdepartmental Ph.D. program in Neuroscience. GRE general test required to: R4837 Field code: 0213](http://neuroscience.ucla.edu/admissions)

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PI(Ph.D.s) Department Research Areas Research +/=/- computational
Adhikari, Avishek Psychology, Brain Reasearch Institute We have discovered neural circuits in mice that control specific symptoms of high anxiety states, such as avoidance of risk and increases in heart rate. We also showed how the flow of neural activity in brain circuits control anxiety. PubMed +
Basso, Michele A. Semel Institute for Neuroscience and Human Behavior, BRI Dr. Basso's work is aimed at understanding how the brain combines memory and sensory information to guide decisions and how these processes are impaired in diseases. Google +
Bisley, James Neurobiology, BRI Dr. Bisley’s research interests revolve around the cognitive processing of visual information, with particular foci on understanding the neural mechanisms underlying the guidance of visual attention, the guidance of eye movements and spatial stability. His lab has also studied visual working memory and he has been involved in implementing haptic feedback for surgical robotics. Google +
Buonomano, Dean Behavioral Neuroscience, Neurobiology, BRI Our research focuses on how neural circuits learn and perform complex computations--such as telling time and temporal processing. Towards this goal our lab uses electrophysiological, optogenetic, computational, and psychophysical techniques. Lab +
Golshani, Peyman Neurology, BRI The mission of our laboratory is to discover how changes in the excitability and connectivity of neuronal ensembles results in autism and developmental epilepsies. Google +
Hong, Weizhe Biological Chemistry, Neurobiology We aim to understand how social behavior is regulated at the molecular and circuit level and how social behavior and social experience lead to molecular and circuit level changes in the brain Lab +
Kao, Jonathan Electrical Engineering, BRI Our research group studies questions at the intersection of neuroscience and computation. In particular, we develop and apply statistical signal processing and machine learning techniques to elucidate how populations of neurons carry out computations in the brain. Further, we also develop experimental and algorithmic techniques for neural engineering applications, including brain-machine interfaces. Lab +
Masmanidis, Sotiris Neurobiology, BRI Key questions: What are the dynamics of neural microcircuits during reward-conditioned behavior? What role does the activity of specific microcircuits play in reward-conditioned behavior? How is neural activity and information processing disrupted in models of brain disorders? Lab +
Mehta, Mayank Physics and Astronomy, Neurology,Neurobiology, BRI Key techniques: Develop hardware to measure and manipulate neural activity and behavior; Measure the activity of ensembles of well isolated neurons from many hippocampal and neocortical areas simultaneously during learning and during sleep; Develop data analysis tools to decipher the patterns of neural activity and field potentials, and their relationship to behavior; Develop biophysical theories of synapses, neurons and neuronal networks that can explain these experimental findings, relate them to the underlying cellular mechanisms, and make experimentally testable predictions. Lab +
Portera-Cailliau, Carlos Neurology, Neurobiology, BRI Autism; How are cortical circuits assembled during typical brain development? What are the underlying circuit defects in autism and intellectual disability? What are the best ways to model neuropsychiatric symptoms? Lab +
Ringach, Dario Psychology, Behavioral Neuroscience, Neurobiology, BRI Our research focuses on visual perception and neurophysiology. In particular, we are interested in cortical dynamics, circuitry, function, and mathematical modeling of the visual system. The main methods in the laboratory include multi-electrode recordings from single neurons, as well as intrisic and voltage senstive dye imaging of visual cortex. Google +
Sharpe, Melissa J. Psychology The lab has a particular interest in how this model building goes awry in schizophrenia. People with schizophrenia are known to exhibit failures in associative learning, characteristically learning to associate events that are not really related or may be irrelevant. This is thought to contribute to the positive symptoms of the disorder, such as hallucinations and delusions, as patients attempt to cognitively rationalize their aberrant learning experience. As a lab, we want to uncover how dysfunction in particular neural circuits contribute to these associative learning deficits, which ultimately lead to positive symptoms of the disorder. The hope is that this work will provide the impetus to develop novel therapeutic compounds targeting these neural circuits to improve quality of life in patients. Lab +
Suthana, Nanthia Neurosurgery We focus on development of invasive and non-invasive methodologies to restore cognitive functions such as learning, memory and spatial navigation. This research program utilizes methods of deep brain stimulation combined with intracranial recordings of single-unit and local field potentials to characterize and develop neuromodulatory methods of memory restoration in individuals with debilitating memory impairments. Lab =?
Trachtenberg, Joshua Neurobiology, BRI But how do novel sensory experiences embed themselves in the fabric of the brain to form memories? This question drives the research in my laboratory, which examines the cellular and synaptic mechanisms of experience-dependent plasticity in the neocortex Google =?
Wikenheiser, Andrew Psychology Our lab studies how neural representations support behaviors like decision making. We approach this question by recording the electrical activity of neurons as rats perform behavioral tasks. Electrophysiological techniques are augmented with optogenetics and computational analyses. Google +

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University of California San Diego
  • [Neurograd program, GRE: Institution(4836) Department(0213), Specify interest in Computational Neuroscience specialization](https://medschool.ucsd.edu/education/neurograd/prospective-students/Pages/default.aspx)

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PI(Ph.D.s) Research Areas Research +/=/- computational
Abarbanel, Henry (physics) electrophysiological properties of neurons Google +
Albright, Thomas neural structures and events underlying the perception of motion, form, and color Lab =
Asahina, Kenta ... employing ... CRISPR/Cas9 genome editing, manipulation of specific neural populations, 2-photon functional imaging, and machine vision-assisted behavioral analyses Lab +
Bazhenov, Maksim we apply a variety of methods – quantitative experimental techniques, sophisticated mathematical analysis and large-scale computer modeling – to a variety of problems to reveal common features Lab +
Cauwenberghs, Gert VLSI microsystems for adaptive neural computation Google +
Chalasani, Sreekanth ...interested in understanding how neural circuits sense and process information to generate behaviors Google +
Coleman, Todd Flexible bio-electronics, systems neuroscience, quantitative approaches to understand and augment brain function. Lab +
de Sa, Virginia We study the computational properties of machine learning algorithms and also investigate what physiological recordings and the constraints and limitations of human performance tell us about how our brains learn Lab +
Gentner, Timothy (Acoustic) We want to know how the brain represents behaviorally important, complex, natural stimuli Google +
Gilja, Vikash brain-machine interfaces Lab +
Kleinfeld, David network and computational issues within nervous systems Lab +
Komiyama, Takaki neuronal ensembles in behaving animals, BCI, two-photon in vivo Lab +
Kristan, William study vector calculations, coding/decoding, and control of gain Google +
Mishra, Jyoti Neurotechnology engineering studies in humans and animals to advance experimental diagnostics and therapeutics for neuropsychiatric disorders. Google +
Mukamel, Eran A. (Epigenomics) Research in our lab uses computational modeling and analysis of large-scale data sets to understand complex biological networks, from the genome to brain circuits Lab +
Navlakha, Saket Algorithms in nature Lab +
Reinagel, Pamela computational models to explain reward-motivated choice behavior Lab +
<div style="background-color: yellow; color: black;">Sejnowski, Terrence</div> (One of the founders of Deep Learning)... To uncover linking principles from brain to behavior using computational models...New techniques have been developed for modeling cell signaling using Monte Carlo methods (MCell)...new methods for analyzing sources for electrical and magnetic signals... from functional brain imaging by blind separation using independent components analysis (ICA) Lab +
Serences, John To investigate the influence of behavioral goals and previous experiences on perception and cognition, we employ a combination of psychophysics, computational modeling, and neuroimaging techniques Google +
Sharpee, Tatyana Our approaches are often derived from methods in statistical physics, mathematics, and information theory Lab +
Silva, Gabriel (Ophthlmology) In particular, we are interested in the mechanisms that underlie signal and information propagation in biological cellular neural networks, and the computational potential of such networks in the brain Lab +
Stevens, Charles F. mechanisms responsible for synaptic transmission Google +
Störmer, Viola ...Cognitive and neural mechanisms of human perception, selective attention, and multisensory processing...to understand the computations and processes involved to process these diverse inputs, it is important to consider the full breadth of incoming information Lab +
Voytek, Bradley focused on combining large scale data-mining and machine-learning techniques with hypothesis-driven experimental research to understand the relationships between the human frontal lobes, cognition, and disease Lab +
Yeo, Gene leader in developing the molecular and cellular resources and robust technologies required for truly large-scale studies of hundreds of RNA binding proteins and their RNA targets Lab +
Yu, Angela J. Computational modeling and psychophysics of attention, learning, and decision-making Lab +

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University of California, Santa Barbara

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PI(Ph.D.s) Department Research Areas Research +/=/- computational
Ashby, Greg Psychological & Brain Sciences Dr. Ashby's approach is to collect a wide varity of empirical data (e.g., from cognitive behavioral experiments, fMRI experiments, and studies with various neuropsychological patient groups), and use these data to develop and test neurobiologically detailed mathematical models Lab +
Carlson, Jean Physics The Complex Systems group at UCSB, headed by Physics professor Jean Carlson, investigates robustness, tradeoffs, and feedback in complex, highly connected systems, and develops multi-scale models to capture important small-scale details and predict large-scale behavior. Lab +
Chrastil, Liz Geography The focus of our research is understanding how the brain supports spatial navigation. We use virtual reality, fMRI, and EEG methods to test questions about the nature of our spatial geometry, why individuals differ so much in their navigational abilities, and how we acquire and use spatial knowledge. Lab +
Eckstein, Miguel Psychological & Brain Sciences The Vision and Image Understanding Laboratory at the University of California, Santa Barbara pursues computational modeling of behavioral, cognitive neuroscience and physiological data with the aim of elucidating the mechanisms and neural substrates mediating perception, attention and learning. Google +
Gazzaniga, Michael Psychological & Brain Sciences The Center integrates a wide range of scholarly endeavors and technologies in the humanities, social sciences and the sciences. These will include, for example, the metaphysics and the philosophy of the mind; methodologies in the social and behavioral sciences; and the relatively recent tools that have been developed in the sciences such as functional neuro-imaging, genetic techniques, computational modeling and immersive virtual environment technology. Google =?
Giesbrecht, Barry Psychological & Brain Sciences We use a combination of behavioral and neuroimaging techniques (EEG, fMRI) coupled with advanced analytical methods to systematically investigate the dynamics of the perceptual, cognitive, and neural mechanisms of selective attention. Lab +
Goard, Michael Molecular, Cellular, and Developmental Biology To this end, my lab employs large-scale two-photon calcium imaging, multi-unit electrophysiology, and optogenetic manipulation of neural activity in behaving mice. We then use computational approaches to analyze and interpret the data collected from large populations of neurons. Lab +
Grafton, Scott Psychological & Brain Sciences Our research emphasizes experiments that elucidate the underlying cognitive architecture that represents action and transforms intentions and goals into specific movements...Data modeling approaches include conventional multivariate methods, machine learning and representational similarity. We also characterize functional data using dynamic community detection algorithms. Google +
Jacobs, Emily Psychological & Brain Sciences he Jacobs Lab is focused on understanding the extent to which sex steroid hormones shape the neural circuitry underlying higher order cognitive functions... Lab =?
Janusonis, Skirmantas Psychological & Brain Sciences The brain serotonin matrix and its interaction with other cellular elements; Stochastic processes driving the formation of the ascending reticular activating system; The architectures of early vertebrate brains Lab +
Kosik, Kenneth Molecular, Cellular, and Developmental Biology The lab is interested in the underlying molecular basis of plasticity, particularly how protein translation at the synapse affects learning and how impairments of plasticity lead to neurodegenerative diseases. Lab =?
Louis, Matthieu Molecular, Cellular, and Developmental Biology My lab seeks to reveal building blocks of neural computation underlying sensory perception and adaptive decision making...Combining neuronal imaging and perturbation analysis through optogenetics, we generate mechanistic hypothesis about the neural implementation of navigational decisions. Google +
Madhow, Upamanyu Electrical and Computer Engineering Examples of ongoing projects include multiGigabit millimeter wave communication networks, novel architectures and hardware prototypes for very large scale sensor networks, and target tracking using very simple sensors. Lab =?
B.S. Manjunath Electrical and Computer Engineering Current research focus is on (a) integration of human and contextual information in analyzing images and video, leading to bio-inspired methods for computer vision; Lab +
Miller, Michael Psychological & Brain Sciences His research employs a variety of techniques, including functional magnetic resonance imaging (fMRI), event-related potentials (ERP), transcranial magnetic stimulation (TMS), split-brain studies, and signal detection analysis Lab =?
Moehlis, Jeff Mechanical Engineering We have been developing procedures for determining an optimal electrical deep brain stimulus which desynchronizes the activity of a group of neurons by maximizing the Lyapunov exponent associated with their phase dynamics, work that could lead to an improved "brain control" method for treating Parkinson's disease...Other research interests include the applications of dynamical systems and control techniques to other neuroscience systems, cardiac dynamics, energy harvesting, and collective behavior. Google +
Montell, Craig Molecular, Cellular, and Developmental Biology Using molecular genetic, optogenetic, thermogenetic, electrophysiological, biochemical and cell biological approaches in the fruit fly, Drosophila melanogaster, our laboratory is decoding the receptors, ion channels and neuronal circuits that are critically important in allowing flies to sense the outside world, and impact on decisions ranging from food selection to choosing the ideal thermal landscape, mate selection and others. Lab +?
Simpson, Julie Molecular, Cellular, and Developmental Biology How does the brain control behavior? We study the neural circuits that organize a flexible sequence of movements that remove dust from fruit flies. Google +
Smith, Spencer L. Electrical and Computer Engineering We are exploring population dynamics with single cell resolution to elucidate principles of circuit architecture, dynamics, and computation. We are currently using this technology to explore activity in primary and higher visual cortical areas in mice...To explore cellular and population activity in a context in which behaviorally relevant mechanisms are engaged, we have developed and optimized insturmentation to explore quantitative psychophysical behavior guided by complex visual stimuli...We are exploring the technological headroom in several domains for developing new tools and techniques for neuroscience and other biological applications. Lab +
Turk, Matthew Computer Science My primary research interests are in computer vision and imaging, human-computer interaction, machine learning, and augmented reality. I'm also interested in computation models of, and tools for, neuroscience. Lab +

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University of Oregon

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PI(Ph.D.s) Research Areas Research +/=/- computational
Ahmadian, Yashar (Theoretical Neuroscience)...understanding how large networks of neurons...process sensory inputs and give rise to higher-level cognitive functions through their collective dynamics on multiple time scales Google +
Doe, Chris Assembly and function of neural circuits driving larval locomotion in Drosophila... interested in (1) temporal identity programs used to generate an ordered series of neural progeny from a single progenitor, (2) how spatial patterning and temporal identity are integrated to generate heritable neuronal identity, (3) how neuronal progenitors change competence to respond to intrinsic and extrinsic cues over time, and (4) the developmental mechanisms driving neural circuit assembly, with a focus on larval locomotor circuits and adult central complex circuits. Lab +
Huxtable, Adrianne neural control of breathing (the central brainstem and spinal cord networks), with a specific focus on how inflammation ... undermines breathing Lab =
Lockery, Shawn nervous system controls behavior by analyzing the neural networks for decision making, focusing on spatial exploration behaviors, and food choice involving trade-offs that mimic human economic decisions Google +
Mazzucato, Luca Computational models of cortical network function. Lab +
Miller, Adam C. Neural circuit wiring, synapse formation, and electrical synaptogenesis in zebrafish Lab +
Niell, Cris Function and development of neural circuits for visual processing +
Smear, Matt will pursue general principles of how neural circuits generate behavior Google +
Swann, Nicki Studies the motor system in healthy people as well as patients with movement disorders (e.g. Parkinsons), using a combination of invasive and non-invasive electrophysiology. Lab +
Sylwestrak, Emily understand how heterogeneous, molecularly-defined neuronal populations work together to drive behavior Lab =
Washbourne, Philip Molecular mechanisms of synapse formation Lab =
Wehr, Michael How local circuits in the auditory cortex encode and transform sensory information Lab +

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University of Southern California
  • [USC Neuroscience Graduate Program. GRE Average: 155(Verbal), 167(Quant), Institution(4852), Department(0213)](https://ngp.usc.edu/admissions/)

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PI(Ph.D.s) Research Areas Research +/=/- computational
Brocas, Isabelle I combine economic theoretical modeling (optimization based, game theoretic based), computational approaches, and a large variety of experimental methods. Google +
Coricelli, Giorgio Our objective is to apply robust methods and findings from behavioral decision theory to study the brain structures that contribute to forming judgments and decisions, both in an individual and a social context Google =

truncated — full list on GitHub

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