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
References:
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]