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Related Experiment Video

Updated: Apr 27, 2026

Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus
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Self-organization of a recurrent network under ongoing synaptic plasticity.

Takaaki Aoki1

  • 1Faculty of Education, Kagawa University, 1-1 Saiwai-cho, Takamatsu, Kagawa 760-8521, Japan.

Neural Networks : the Official Journal of the International Neural Network Society
|June 21, 2014
PubMed
Summary

Neural network organization was studied using dynamic synapses and neural oscillators. Increased Fourier zero mode led to emergent heterogeneous clusters, revealing insights into self-assembly mechanisms driven by synaptic plasticity.

Keywords:
Adaptive networksPhase oscillatorsSpike-timing-dependent plasticitySynchronization

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Area of Science:

  • Computational Neuroscience
  • Systems Neuroscience
  • Neural Network Dynamics

Background:

  • Synaptic plasticity is crucial for neural network organization.
  • Recurrent neural networks exhibit complex dynamics influenced by synaptic changes.
  • Understanding self-assembly mechanisms in neural systems is a key challenge.

Purpose of the Study:

  • To investigate neural network organization under ongoing synaptic plasticity.
  • To model neural oscillators coupled by dynamic synapses with time-dependent weights.
  • To analyze the role of the Fourier zero mode of the phase coupling function.

Main Methods:

  • Developed a computational model of neural oscillators with dynamic synapses.
  • Determined the phase coupling function (Γ(ϕ)) using conductance-based neuron models.
  • Analyzed the impact of the Fourier zero mode on network structure and dynamics.

Main Results:

  • Dynamic synapses led to time-dependent changes in coupling weights.
  • Heterogeneous layered clusters with distinct frequencies emerged from homogeneous populations.
  • The Fourier zero mode significantly influenced the self-organization of the network.

Conclusions:

  • Synaptic plasticity can drive the self-assembly of complex neural network structures.
  • The Fourier zero mode of the phase coupling function plays a critical role in network organization.
  • Findings offer insights into emergent network architectures in biological systems.