Hebbian learning in a random network for PFC modeling (Lindsay, et al. 2017)

Creates a random model that replicates the inputs and outputs of PFC cells during a complex task. Then executes Hebbian learning in the model and performs a set of analyses on the output. A portion of this model's analysis requires code from: https://github.com/brian-lau/highdim

Region(s) or Organism(s): Prefrontal cortex (PFC)

Model Concept(s): Learning

Simulation Environment: MATLAB


Lindsay GW, Rigotti M, Warden MR, Miller EK, Fusi S. (2017). Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

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