Neural modeling of an internal clock (Yamazaki and Tanaka 2008)

"We studied a simple random recurrent inhibitory network. Despite its simplicity, the dynamics was so rich that activity patterns of neurons evolved with time without recurrence due to random recurrent connections among neurons. The sequence of activity patterns was generated by the trigger of an external signal, and the generation was stable against noise.... Therefore, a time passage from the trigger of an external signal could be represented by the sequence of activity patterns, suggesting that this model could work as an internal clock. ..."

Model Type: Realistic Network

Region(s) or Organism(s): Cerebellum

Model Concept(s): Temporal Pattern Generation; Spatio-temporal Activity Patterns; Rate-coding model neurons

Simulation Environment: C or C++ program


Yamazaki T, Tanaka S. (2005). Neural modeling of an internal clock. Neural computation. 17 [PubMed]

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