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

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"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. ..."
1 . Yamazaki T, Tanaka S (2005) Neural modeling of an internal clock. Neural Comput 17:1032-58 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Cerebellum;
Cell Type(s):
Gap Junctions:
Simulation Environment: C or C++ program;
Model Concept(s): Temporal Pattern Generation; Spatio-temporal Activity Patterns; Rate-coding model neurons;
Title: A sample program for the internal clock model
Contributor: Tadashi Yamazaki(yamazaki)
Free Keywords: 
  random recurrent inhibitory network
   granular layer
  This is our re-implementation of the cerebellar model presented in the
  following paper:
      Tadashi Yamazaki and Shigeru Tanaka (2005),
      Neural Modeling of an Internal Clock.
      Neural Computation 17(5) 1032--1058.
  One can set parameters arbitrarily and simulate the network dynamics.
  Please notice that this program is independent of the original version
  developed by Yamazaki and Tanaka (2005).
ID: 943
Last Modified Date: Apr 14, 2008 09:51:11
Creation Date: Apr 8, 2008 10:05:50
Model type: Other
Creator: Takeru Honda and Tadashi Yamazaki
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