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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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20 result(s) found
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Thomas Bifano
Professor, Mechanical Engineering
Prof. Bifano’s research focuses on modeling, design, production, and use of micro-electro-mechanical systems (MEMS) in optical applications. He is a founder and CTO of Boston Micromachines Corporation in Cambridge, MA, a leading producer of deformable mirrors for applications in astronomy, bio-imaging, and defense.
David Boas
Professor, Biomedical Engineering
The Boas Lab develops novel optical methods and applies them principally to study the brain. We have recently expanded to complement our suite of technologies with high-speed functional ultrasound and are considering integration with photo-acoustics. Our technologies are used for measuring brain function and physiology on microscopic to macroscopic length scales and are applied in […]
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 […]
Ian Davison
Associate Professor, Biology
Our lab studies the neural circuits that underlie perception and behavior in the olfactory system. Smell is notorious for its links to emotion and memory, and in the animal world, it is also a powerful trigger of innate behaviors like aggression, courtship, and fear. Our overall goal is to establish the circuit architecture and computational […]
Brian DePasquale
Assistant Professor, Biomedical Engineering
The DePasquale lab develops mathematical models to understand how populations of neurons perform computations to produce behavior. Broadly, we take two approaches. One is data-driven: we collaborate with experimental neuroscientists to develop tailored machine learning models of neural activity to identify the algorithms that drive behaviors such as decision-making or movement. Our second approach is […]
Anna Devor
Professor, Biomedical Engineering
We are an imaging lab. We specialize in imaging neuronal, glial, vascular, and metabolic activity in brains of living and behaving experimental animals. We also use stem-cell-derived human neuronal networks. We focus on obtaining high resolution, sensitivity and specificity optical measurements and combine optical imaging with electrophysiological recordings and functional Magnetic Resonance Imaging (fMRI). Our […]
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.
Christopher Gabel
Associate Professor, Physiology & Biophysics
Prof. Gabel's research program is focused on the development and application of femtosecond laser surgery and optical neurophysiology to the study of the nervous system of the nematode worm C. elegans. Using tightly focused pulses from an ultrafast laser, we can ablate regions of biological tissue with submicron precision, making it possible to snip individual […]
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