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Mutual Information and Information Gating in Synfire Chains.

Zhuocheng Xiao1, Binxu Wang2,3, Andrew T Sornborger4,5

  • 1Department of Mathematics, University of Arizona, Tucson, AZ 85721, USA.

Entropy (Basel, Switzerland)
|December 3, 2020
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Summary
This summary is machine-generated.

This study explores how synfire-gated synfire chains (SGSCs) transmit information in neural networks. Researchers found that pulse-gating controls information propagation, enabling binary or graded signal transfer across layers.

Keywords:
channel capacityfeedforward networksneural codingneural information propagationpulse-gating

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Information Theory

Background:

  • Coherent neuronal activity, including synchronous firing and oscillations, is crucial for brain information processing.
  • Synfire chains are theoretical models for coherent spiking and information transfer in feedforward networks.
  • Synfire-gated synfire chains (SGSCs) extend classical models to support graded firing rate transfer.

Purpose of the Study:

  • To investigate information propagation in synfire-gated synfire chains (SGSCs).
  • To analyze the impact of gating and noise on information transfer within these networks.
  • To identify conditions supporting different modes of information propagation (binary vs. graded).

Main Methods:

  • Utilized mutual information analysis to quantify information transfer as a function of network layer depth.
  • Simulated feedforward networks with synfire chain architecture and added gating currents.
  • Varied network parameters to explore the effects of gating and noise on signal propagation.

Main Results:

  • Identified two primary parameter space regions for information propagation in SGSCs.
  • Demonstrated that pulse-gating controls the transfer of information.
  • Showcased a large region supporting binary code propagation and a smaller region supporting graded propagation across multiple layers.

Conclusions:

  • Synfire-gated synfire chains can effectively propagate information through feedforward networks.
  • Pulse-gating is a key mechanism for controlling information transfer modes (binary or graded).
  • The findings provide insights into neural coding and information processing mechanisms in the brain.