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

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Accession:234097
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]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism: Prefrontal cortex (PFC);
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Simulation Environment: MATLAB;
Model Concept(s): Learning;
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