21 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 […]
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  Marc Howard

  Professor, Psychological & Brain Sciences

  We develop mathematical models of cognition and evaluate them against both behavioral and neurophysiological data, providing a bridge between cognition and systems-level neuroscience. We use a combination of mathematical, computational and behavioral tools to evaluate our hypotheses. The topics we investigate are centered on episodic memory, the ability we have to remember specific events situated […]
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  Plamen Ivanov

  Research Professor, Physics

  Prof. Ivanov's research interests include: Physiological and neural control of cardiac, locomotor, circadian, and sleep rhythms. Network physiology, particularly the interactions between integrated physiologic systems. Nonlinear dynamics and coupling, fractal and multifractal stochastic processes, stochastic feedback, and phase synchronization. Excitable media, particularly myocardial tissue. Phase transitions in physical and biological systems.
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  Nancy Kopell

  Professor, Mathematics & Statistics

  For the last two decades, Prof. Kopell has worked on mathematical problems in neuroscience. Her current interests parallel the themes of the Cognitive Rhythms Collaborative: how does the brain produce its dynamics (physiological mechanisms), how do brain rhythms take part in cognition (sensory processing, attention, memory, motor control), and how can pathologies of brain dynamics […]
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  Mark Kramer

  Professor, Mathematics & Statistics

  Prof. Kramer's research focuses on interdisciplinary topics in mathematical neuroscience with particular emphasis on biophysical models of neural activity and data analysis techniques. He is currently interested in medical applications and networks in neuroscience.
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  Pankaj Mehta

  Professor, Physics

  I am interested in theoretical problems at the interface of physics and biology. I want to understand how large-scale, collective behaviors observed in biological systems emerge from the interaction of many individual molecular elements, and how these interactions allow cells to perform complex computations in response to environmental cues. I started a blog that I […]
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  Gabriel Ocker

  Assistant Professor, Mathematics & Statistics

  I work in theoretical neuroscience, studying structure-function relations in neuronal network models. How does neural activity encode sensory information and drive behavior? How do neural circuits evolve, learn, and adapt to shape that activity? How does that connectivity shape activity, and what computations does that activity perform? My group studies models of neural circuits, often […]
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  Yannis Paschalidis

  Professor, Electrical & Computer Engineering

  Prof. Paschalidis completed his graduate education at the Massachusetts Institute of Technology (MIT) receiving an MS (1993) and a PhD (1996) degree, both in Electrical Engineering and Computer Science. In September 1996 he joined Boston University where he has been ever since. He has held visiting appointments with MIT and Columbia University. His research interests […]
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  Matthias Stangl

  Assistant Professor, Biomedical Engineering

  Research in my lab focuses on how the human brain supports critical cognitive and behavioral functions in our everyday life, such as spatial navigation and memory, and on the neural mechanisms that underlie age-related impairments in these functions. From a methodological perspective, we employ novel neurotechnologies and advanced methodologies such as deep brain recordings in […]
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  Emily Stephen

  Assistant Professor, Mathematics & Statistics

  As a member of the Department of Mathematics and Statistics, I work on statistical modeling and analysis of neural recordings across spatial scales. Propagation of electrical and magnetic fields in the brain depends on both static anatomical features and state-dependent dynamical features like coherence, neuromodulation, and active pathways. My work involves constructing models that use […]
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  Roberto Tron

  Assistant Professor, Mechanical Engineering

  Prof. Tron previously served as a post-doctoral researcher with the GRASP Lab at the University of Pennsylvania. His research interests lie at the intersection of automatic control, robotics, and computer vision, with a particular emphasis on applications of Riemannian geometry and on distributed problems involving teams of multiple agents. Tron received his Ph.D. from John […]
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  John White

  Professor & Chair, Biomedical Engineering

  Prof. White’s laboratory uses engineering approaches to understand how information is processed in the brain, with the goal of exploiting these findings to improve the human condition. Ongoing and future research questions include the following: Why is coherent electrical activity of the cortex necessary for mental processes like learning and memory? What factors control this […]
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  Arash Yazdanbakhsh

  Research Assistant Professor, Psychological & Brain Sciences

  Dr. Yazdanbakhsh's research focuses on topics in human vision and its modeling, human electrophysiology, and psychophysics. Some specific projects include a new cortical model to approach the problem of figure-ground segregation and border-ownership, motion integration by multiscale sampling, and the spatio-temporal dynamics of neural receptive fields.