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Meet Our Faculty
Browse Center faculty, sorting them by department or research area.
The Center for Systems Neuroscience is comprised of over 90 faculty.
Our faculty represent multiple colleges and departments within Boston University, on both the Charles River Campus and the Medical Campus.
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23 result(s) found
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Jelle Atema
Professor Emeritus, Biology
Our labs in Boston and Woods Hole focus on three seemingly disparate research areas: chemical ecology of lobsters, navigation in sharks, and dispersal in larval reef fishes. These efforts are linked by a common theme: understanding how marine animals sense their environment, how they use this information to make decisions leading to food and mates […]
John Baillieul
Distinguished Professor, Engineering
Prof. Baillieul focuses on robotics, the control of mechanical systems, and mathematical system theory. His work in the late 1980’s led to seminal papers on motion planning for kinematically redundant manipulators. Earlier work on nonlinear optimal control theory foreshadowed much of the current literature on singular Riemannian geometry. Current research focuses on extending and applying […]
Chand Chandrasekaran
Assistant Professor, Anatomy & Neurobiology
I conduct research to better understand how the brain processes complex uni- and multisensory input and generates the appropriate action at the right time. My research is guided by the ethos that understanding how the brain works will help us build better interventions for people with disabilities involving the nervous system. I expect my research […]
Lynne Chantranupong
Assistant Professor of Biology
Neurons are extremely specialized cells. They can generate intense electrical activity, maintain highly complex morphologies, and survive our entire lifetimes. Moreover, neurons are incredibly diverse, exhibiting a wide range of activity states, shapes, and sizes. These specializations confer different needs and liabilities to neurons, which they must address by adapting their molecular pathways to maintain […]
Jerry Chen
Associate Professor, Biology
Investigating Long-Range Neocortical Networks: A longstanding goal in neuroscience is to achieve a complete understanding of the central nervous system, from the brain as a whole all the way down to individual neurons and synapses. A fundamental challenge in achieving this goal is bridging knowledge gaps impeded by the difficulty in integrating experimental measurements across […]
Michael Economo
Assistant Professor, Biomedical Engineering
Prof. Economo’s laboratory studies the structure and function of the neural circuits distributed across the brain that control movement. His research leverages cutting edge optical, electrophysiological, and genetic tools for recording and manipulating neural activity during behavior and for illuminating the structure of neural circuits.
Mark Howe
Assistant Professor, Psychological & Brain Sciences
My laboratory seeks to identify neural circuit principles responsible for adaptively motivating, selecting, and learning actions in changing environments. We focus on the basal ganglia, a set of brain regions implicated in regulating motor and cognitive functions on multiple timescales. A range of techniques are employed including two-photon microscopy, fiber photometry, and electrophysiology in behaving […]
Kathleen Kantak
Professor, Psychological & Brain Sciences
Prof. Kantak's current research focuses on cognitive aspects of addiction-related behavior. Her overall goal is to conduct translational research using trans-species behavioral models of cognition and drug abuse and to interface her work with that of neurobiologists to understand mechanisms and with that of clinicians to improve drug addiction treatment outcomes. Using intravenous drug self-administration […]
Arthur Sangil Lee
Assistant Professor, Cognitive Neuroscience
Dr. Arthur Lee’s research interests include the decoding of mental states through neural patterns, neural predictions of behaviors, and subjective value and utility computation. To investigate these research questions, he uses a variety of functional neuroimaging methods, including leveraging public datasets and creating whole-brain predictors of cognitive functions.
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