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
Reference:
1 .
Lindsay GW, Rigotti M, Warden MR, Miller EK, Fusi S (2017) Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex. J Neurosci 37:11021-11036 [PubMed]
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