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Impact of axonal delay on structure development in a multi-layered network.

Catherine E Davey1, David B Grayden1, Anthony N Burkitt1

  • 1Department of Biomedical Engineering, The University of Melbourne, VIC 3010, Australia.

Neural Networks : the Official Journal of the International Neural Network Society
|October 23, 2021
PubMed
Summary

This study explores how axonal propagation delay impacts neural learning in the visual pathway. Introducing variable delays reveals low-pass filtering effects and frequency-dependent network responses, influencing visual processing.

Keywords:
Axonal propagation delayNeural networkRate-based neural plasticitySpatial opponent cells

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Visual Processing

Background:

  • Linsker's seminal work established mechanisms for neural plasticity in early visual processing.
  • Previous models assumed homogeneous propagation delay, overlooking its functional role.
  • This study challenges the homogeneity assumption in neural pathway models.

Purpose of the Study:

  • To investigate the impact of distance-dependent axonal propagation delay on neural learning.
  • To analyze how variable propagation delays affect neural network behavior and visual processing.
  • To explore the functional consequences of relaxing the homogeneous delay assumption.

Main Methods:

  • Relaxing the assumption of homogeneous propagation delay in multi-layer neural models.
  • Analyzing the effects of distance-dependent axonal propagation delay on spike arrival times.
  • Investigating the relationship between propagation delay, receptive field size, and visual system parameters.

Main Results:

  • Propagation delay induces low-pass filtering by dispersing spike arrival times, acting as a correlation cancellation mechanism.
  • Increased radial propagation delay relative to inter-layer delay lowers cut-off frequency, limiting temporal resolution.
  • Network response becomes frequency-dependent, with higher frequencies needing greater input amplitude.
  • The proportion of inhibition to excitation increases with longer radial propagation delays.
  • Axonal delay stabilizes on-center size against homeostatic variations.

Conclusions:

  • Distance-dependent axonal propagation delay is a crucial factor in neural learning and visual processing.
  • Variable delays naturally explain phenomena like frequency-dependent contrast sensitivity in the visual system.
  • The findings suggest that propagation delay plays a significant functional role, influencing temporal resolution and network stability.