Brian DePasquale

Assistant Professor; Biomedical Engineering

pic of Brain DePasquale
  • Title Assistant Professor; Biomedical Engineering
  • Office 44 Cummington Mall 413
  • Phone (617) 353-2816
  • Education PhD Neurobiology and Behavior, Columbia University, 2016
    Postdoctoral training: Princeton Neuroscience Institute, 2016-2022

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 theoretical: we construct and analyze artificial neural network models to understand how their structure gives rise to analogous computations and other functional features observed in biological neural circuits. A key area of interest has been understanding how structured connections between neurons produce network activity that is both coherent and irregular, a common yet paradoxical feature of neural responses.

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