22 result(s) found.

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  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 […]
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  Rachel Denison

  Assistant Professor, Psychological & Brain Sciences

  How does the brain generate our ongoing perceptual experience? The Denison Lab studies visual perception, attention, and decision making, with a focus on temporal dynamics. The lab’s research integrates behavioral measurements (psychophysics, eye tracking), neural measurements (fMRI, EEG/MEG), and computational modeling.  
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  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 […]
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  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 […]
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  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.
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  Uri Eden

  Professor, Mathematics & Statistics

  Prof. Eden's research focuses on developing mathematical and statistical methods to analyze neural spiking activity. This research can be divided into two categories; first a methodological component, focused on developing a statistical framework for relating neural activity to biological and behavioral signal and developing estimation algorithms, goodness-of-fit analyses, and mathematical theory that can be applied […]
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  Stephen Grossberg

  Professor Emeritus, Mathematics and Psychology

  Prof. Grossberg develops brain models of vision and visual object recognition; audition, speech, and language; development; attentive learning and memory; cognitive information processing and social cognition; reinforcement learning and motivation; cognitive-emotional interactions; navigation; sensory-motor control and robotics; and mental disorders. These models involve many parts of the brain, ranging from perception to action, and multiple […]
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  Frank Guenther

  Professor, Speech, Language & Hearing Sciences

  Frank Guenther is professor of speech language, & hearing sciences and biomedical engineering at Boston University. His research combines theoretical modeling with behavioral and neuroimaging experiments to characterize the neural computations underlying speech. He is the originator of the DIVA model, which provides a quantitative account of the neural computations underlying speech motor control and […]
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  Michael Hasselmo

  Professor, Psychological & Brain Sciences Director, Center for Systems Neuroscience

  Research in the Hasselmo Laboratory concerns the cortical dynamics of memory-guided behavior, including effects of neuromodulation and theta rhythm oscillations in cortical function. Neurophysiological techniques are used to analyze intrinsic and synaptic properties of cortical circuits in rodents and to explore the effects of modulators on these properties. Computational modeling is used to link these […]