92 result(s) found.

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  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 […]
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  H. Steven Colburn

  Professor Emeritus, Biomedical Engineering

  Prof. Colburn’s research involves the application of signal processing, statistical communication theory, and computational modeling to the study of hearing and hearing impairments. Prof. Colburn is particularly interested in the measurement and modeling of binaural hearing performance. Specific current topics include modeling the activity of auditory brainstem neurons and measurement and modeling of spatial attributes […]
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  Alice Cronin-Golomb

  Professor, Psychological & Brain Sciences

  Prof. Cronin-Golomb conducts research on visual factors influencing high-order cognitive capacities in normal aging and age-related neurological disease, with special emphasis on object identification in Alzheimer’s disease and visuospatial function in Parkinson’s disease. Her work is supported by the National Institute of Neurological Diseases and Stroke (NIH). Prof. Cronin-Golomb’s students and research associates are conducting […]
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  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 […]
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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 […]