The DePasquale lab is located in the Department of Biomedical Engineering at Boston University. We develop 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.
DePasquale Lab
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- United States of America
- https://depasquale-lab.github.io/
- @briandepasquale
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- StateSpaceDynamics.jl Public
Julia library for fitting and analyzing state space models. Provides efficient implementations of various SSMs including the canonical Gaussian LDS (Kalman Filter/Smoother), Poisson LDS, HMMs, etc.
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depasquale-lab/depasquale-lab.github.io’s past year of commit activity - archive_depasquale-lab.github.io Public archive
depasquale-lab/archive_depasquale-lab.github.io’s past year of commit activity
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