Basis for temporal filters in the cerebellar granular layer (Roessert et al. 2015)

This contains the models, functions and resulting data as used in: Roessert C, Dean P, Porrill J. At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters. It is based on code used for Yamazaki T, Tanaka S (2005) Neural modeling of an internal clock. Neural Comput 17:1032-58

Model Type: Realistic Network

Region(s) or Organism(s): Cerebellum

Model Concept(s): Rate-coding model neurons; Reservoir Computing

Simulation Environment: C or C++ program

Implementer(s): Roessert, Christian [christian.a at roessert.de]

References:

Rössert C, Dean P, Porrill J. (2015). At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters. PLoS computational biology. 11 [PubMed]