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Recurrent network models for perfect temporal integration of fluctuating correlated inputs

Hiroshi Okamoto1, Tomoki Fukai

  • 1Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Wako, Saitama, Japan. hiroshi.okamoto@fujixerox.co.jp

Plos Computational Biology
|June 9, 2009
PubMed
Summary

Brain networks achieve near-perfect temporal integration using recurrent neural networks. This process relies on integrating input variance, not just the mean, for efficient information accumulation.

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