Sparse connectivity is required for decorrelation, pattern separation (Cayco-Gajic et al 2017)

" ... To investigate the structural and functional determinants of pattern separation we built models of the cerebellar input layer with spatially correlated input patterns, and systematically varied their synaptic connectivity. ..."

Model Type: Realistic Network

Region(s) or Organism(s): Cerebellum

Model Concept(s): Pattern Separation

Simulation Environment: MATLAB; Python

Implementer(s): Cayco Gajic, Alex [natasha.gajic at]


Cayco-Gajic NA, Clopath C, Silver RA. (2017). Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks. Nature communications. 8 [PubMed]

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