John Maunsell, PhD – Chicago

Professor, Department of Neurobiology
Director, Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior

Maunsell's research is aimed at understanding how neuronal signals in visual cerebral cortex generate perceptions and guide behavior. Our approach is to record from individual neurons in trained, behaving monkeys and mice while they perform visual tasks. Another line of research has been exploring the more general question of how the activity of given neurons contributes to specific visual behaviors.

Mark Steyvers, PhD – UC Irvine

Professor, Cognitive Sciences UC Irvine
Principal Investigator, Memory and Decision Laboratory

Dr. Steyvers research focuses on Wisdom of Crowds; Aggregating human judgments; Computational models of the mind; Machine Learning and Statistics; Memory and Decision Making.

Zhong-Lin Lu, PhD – Ohio State

Distinguished Professor of Social and Behavioral Sciences and Psychology
Director, Center for Brain and Cognitive Sciences at The Ohio State University

The goal of Lu's research program is to construct computational brain models for perception and cognition.

Lilianne R. Mujica-Parodi, PhD – Stony Brook

Associate Professor, Department of Biomedical Engineering.Stony Brook
Appointments in Departments of Neurobiology and Behavior,Neurology, and Psychiatry
Director of the Laboratory for Computational Neurodiagnostics (LCNeuro)

Dr. Mujica-Parodi's Lab performs clinical research on the neurobiology of emotional arousal, and its effects on physiology and cognition.

Hava Siegelmann, PhD – UMass

Professor, Computer Science, University of Massachusetts at Amherst
Director, Siegelmann Lab
Core Member, Neuroscience and Behavior Program
Hava Siegelmann's research focuses on the understanding of biologically inspired computational systems. In particular, she studies the computational and dynamical complexity of neural systems as well as genetic-networks.

Ken Paller, PhD – Northwestern

Professor of Psychology, Northwestern University
Director, Cognitive Neuroscience Program and the Training Program in the Neuroscience of Human Cognition
Fellow, Cognitive Neurology and Alzheimer's Disease Center
Editor (memory section) of Neuropsychologia

My research focuses on understanding human memory functions and their implementation in the brain. Multiple techniques for measuring brain activity are combined using a Cognitive Neuroscience approach that respects the complexity of cognition as well as the detailed organization of the brain.

Kenneth Norman, Phd – Princeton

Professor of Psychology and the Princeton Neuroscience Institute
Principal Investigator, Computational Memory Lab

A major focus of Dr. Norman's research is characterizing how different subregions of the medial temporal lobes (in particular, the hippocampus and perirhinal cortex) contribute to recognition and recall, and how the contributions of these structures differ from one another. He is also interested in how accuracy and distortion in episodic memory arise from interactions between medial temporal structures and prefrontal cortex.

George Church, PhD – Harvard

Professor of Genetics, Harvard Medical School
Director, and the Church Lab

Dr. Church was part of a team of six that proposed in 2012 a Brain Activity Map which morphed into the BRAIN Initiative. They outlined specific experimental techniques that might be used to achieve what they termed a "functional
connectome"  as well as new technologies to detect and manipulate neuronal activity. In a 2015 Neuron article, they proposed establishing a national network of Brain Observatories.

Ping Li, PhD – Penn State

Professor of Psychology, Linguistics, & Information Sciences & Technology
Co-Director, Center for Brain, Behavior, and Cognition
Facult, Center for Language Science (CLS)

Dr. Li's research aims at understanding the relationships among language, brain, and culture. He investigates the computational and neural mechanisms underlying language acquisition and representation in both native and non-native speakers of Western languages.

Joshua Gold, PhD – Penn

Professor of Neuroscience, Perelman School of Medicine
Principal Investigator, Gold Lab
Chair, Neuroscience Graduate Group (NGG)
Co-Director, Computational Neuroscience Initiative

Dr. Gold's recent work has begun to identify how and where in the brain inference processes are implemented, particularly in the service of perceptual and reward-based decision-making.

Steven Chase, PhD – CMU

Assistant Professor, Center for the Neural Basis of Cognition and Biomedical Engineering
Principal Investigator, Chase Lab

Dr. Chase uses brain-computer interfaces to study motor learning and skill acquisition. His work stands to provide a better understanding of how movement information is represented in networks of neurons in the brain and will inform the development of neural prosthetics.

Amina Qutub, PhD – Rice

Assistant Professor of Bioengineering, Dept. of Bioengineering
Principal Investigator, Qutub Lab

Amina Qutub’s research at Rice University integrates biological systems theory and design to characterize hypoxic response signaling and neurovascular dynamics. Her basic and translational research has applications in leukemia and brain cancer therapy; treatments for brain ischemia and Alzheimer’s disease; and increased understanding of cellular and sub-cellular organization in vascular biology.

Behnaam Aazhang, PhD – Rice

J.S. Abercrombie Professor, Electrical and Computer Engineering, Rice University
Director, Rice Center for Neuroengineering
Founding Director, Center for Multimedia Communication

Dr. Aazhang focuses on communication theory, information theory, and their applications to wireless communication with a focus on the interplay of communication systems and networks; including network coding, user cooperation, spectrum sharing, and opportunistic access.

Charles Gilbert, MD/PhD – Rockefeller

Arthur and Janet Ross Professor, Laboratory of Neurobiology

Dr. Gilbert studies the mechanisms underlying visual perception, including the specific role of the brain’s primary visual cortex in analyzing visual images and in perceptual learning. To this end, his laboratory investigates the circuitry of the brain and how the interactions between groups of neurons contribute to perception, learning and memory.

Aude Oliva, PhD – MIT

Associate Professor of Cognitive Science, Department of Brain and Cognitive Sciences
Principal Investigator, Computation Perception & Cognition Lab

Dr. Oliva's research program is in the field of Computational Visual Cognition, a framework that strives to identify the substrates of complex visual recognition tasks and to develop models inspired by human perception and cognition. The natural visual environment is composed of three-dimensional objects, with textures, colors, and materials, embedded in an explicit spatial layout.

David Kleinfeld, PhD – UCSD

Professor of Biophysics
Director, David Kleinfeld Laboratory

David Kleinfeld and his colleagues take biophysical and computational approaches to bridge phenomena at different levels in the brain, ranging from intracellular electrophysiology to multi-cellular recording to animal behavior. This provides an opportunity to discover algorithms and principles that underlie computations within nervous systems. In additional, they develop instrumentation and analysis procedures that facilitate the study of physiology.

Craig Forest, PhD – Ga. Tech

Associate Professor of Bioengineering and BioMedical Engineering, Georgia Tech
Principal Investigator, Precision Biosystems Laboratory
Facilitator for Invention Studio

Forest conducts research on miniaturized, high-throughput robotic instrumentation to advance neuroscience and genetic science, working at the intersection of bioMEMS, precision machine design, optics, and microfabrication. Prior to Georgia Tech, he was a research fellow in Genetics at Harvard Medical School.

Bryan Roth, MD/PhD – UNC

Professor. Department of Pharmacology, University of North Carolina
Director, NIMH Psychoactive Drug Screening Program
Director, Roth Lab

Roth studies all aspects of GPCR structure and function ranging from the atomic-level analysis of ligand-receptor interactions to in vivo studies. Currently he is focused on members of the serotonin (5-hydroxytryptamine; 5-HT) and opioid receptor families and their accessory proteins.

Patrick Kanold, PhD – UMD

Associate Professor of Biology
Director, Kanold Lab

Dr. Kanold studies the development and plasticity of the brain, in particular how periods of learning and plasticity are initiated and controlled. His work focuses on the development of the central auditory and visual system in particular on the role of early cortical circuits in brain wiring. He uses advanced neurophysiological, in vivo imaging, optogenetic, molecular and computational techniques.

Serge Picaud, PhD – Vision Institute

Head of the Department of Visual Information Processing
Vision Institute, Pierre and Marie Curie University

The goal of Serge Picaud's three-dimensional holography research is to enable Neuroscientists to manipulate neural circuits in order to discover how patterns of activity relate to sensation, perception and cognition. This capability is essential for discovering how communication between neurons gives rise to healthy brain function. These insights will improve our ability to identify effective targets and methods for treating neurological diseases and disorders.

Sacha Nelson, MD, PhD – Brandeis

Professor of Biology, Brandeis University
Director, Nelson Lab

Sacha Nelson's research focuses on understanding the cell types and circuits that comprise the mammalian neocortex, and how these circuits are altered by normal experience and during disease. His work employs a combination of electrophysiology, anatomy and mouse genetics and genomics to define cortical cell types and to identify alterations in cortical connectivity in epilepsy and autism spectrum disorders.

Dmitry Rinsberg, PhD – NYU

Associate Professor, Department of Neuroscience & Physiology
NYU Neuroscience Institute
Principal Investigator: Rinsberg Lab

Rinsberg's research uses electrophysiology, optogenetics, and psychophysics to understand the principles of the sensory information processing. Specifically we are focused on two questions: 1) how is odor information coded in the brain of the awake, behaving mouse? And 2) how is information relevant to animal behavior extracted by the brain? In short, we want to know what the mouse’s nose tells its brain.

Kevin J. Staley, MD – Harvard Med

Professor of Child Neurology and Mental Retardation, Harvard Medical School
Unit Chief, Pediatric Neurology, Massachusetts General Hospital
Director, Pediatric Epilepsy Research Lab

Staley focuses on neuronal ion transport and the spread of activity in neural networks. Research interests include epilepsy, synaptic physiology, and neural network activity. Research techniques used: single cell electrophysiology, in vivo radiotelemetry, ion-sensitive fluorescent imaging of ion transport and neural network activity, computer modeling.

Florian Engert, PhD – Harvard

Professor of Molecular and Cellular Biology, Harvard University
Director, Engert Lab

The general goal of my research is the development of the larval zebrafish as a model system for the comprehensive identification and examination of neural circuits controlling visually induced behaviors. My lab plans to establish and quantify a series of visually induced behaviours and analyze the individual resulting motor components. Using these assays we will monitor neuronal activity throughout the fish brain in an awake and intact preparation.

Michael Dickinson, PhD – Caltech

Zarem Professor of Bioengineering, Caltech Neuroscience
Director, Dickinson Lab

The aim of Dickinson's research is to elucidate the means by which flies accomplish their aerodynamic feats. A rigorous mechanistic description of flight requires an integration of biology, engineering, fluid mechanics, and control theory. The long term goal, however, is not simply to understand the material basis of insect flight, but to develop its study into a model that can provide insight to the behavior and robustness of complex systems in general.

Sebastian Seung, PhD – Princeton

Professor, Computer Science Department and Princeton Neuroscience Institute
Principal Investigator, Seung Lab

Seung is a multi-disciplinary expert whose research efforts have spanned the fields of neuroscience, artificial intelligence. physics and bioinformatics. His TED talk “I am my connectome” has been viewed more than 750,000 times. His book Connectome: How the Brain’s Wiring Makes Us Who We Are is considered by some as “the best lay book on brain science I’ve ever read.” Seung is also the organizer of the Citizens Science project/game called EyeWire.

Mriganka Sur, PhD – MIT

Professor of Neuroscience, MIT Department of Brain and Cognitive Sciences
Director, Simons Center for the Social Brain
Principal Investigator, Laboratory of Mriganka Sur

Dr. Sur studies the organization, development and plasticity of the cerebral cortex of the brain using experimental and theoretical approaches. He has discovered fundamental principles by which networks of the cerebral cortex are wired during development and change dynamically during learning.

Carlos D Brody, PhD – Princeton

Professor of neuroscience and molecular biology, Princeton Neuroscience Institute
Howard Hughes Medical Institute Investigator
Principal Investigator, Brodylab

Brody's focus is on novel quantitative behaviors that allow exploring high-level cognitive questions. Brody’s group now uses rats to investigate the neural bases of decision making, working memory and executive control using a combination of high-throughput semiautomated behavior as well as computational, electrophysiological, pharmacological and optogenetic methods.

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