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Related Experiment Videos

Pattern generation by two coupled time-discrete neural networks with synaptic depression

W Senn1, T Wannier, J Kleinle

  • 1Universität Bern, Switzerland.

Neural Computation
|July 9, 1998
PubMed
Summary
This summary is machine-generated.

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Neuronal networks can generate rhythmic activity without pacemaker cells, relying instead on synaptic depression. Coupling two such networks can lead to various synchronized or desynchronized oscillations, suggesting a role for synaptic tuning in pattern generation.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Rhythmic animal behaviors, like vertebrate locomotion, typically involve alternating muscle group contractions.
  • Neuronal networks generating these rhythms are often assumed to require pacemaker cells or complex inhibitory/excitatory circuits.
  • Recent experiments suggest purely excitatory networks can oscillate via synaptic depression, challenging this view.

Purpose of the Study:

  • To investigate the oscillatory behavior of two symmetrically coupled, purely excitatory neuronal networks.
  • To explore the role of synaptic depression in generating rhythmic activity in the absence of pacemakers.
  • To understand how coupling affects network synchronization and pattern generation.

Main Methods:

Related Experiment Videos

  • Development of a time-discrete mean-field model.
  • Modeling average activity and average synaptic depression of two coupled networks.
  • Analysis of network dynamics across varying parameter values related to synaptic depression.

    • Main Results:

    • Symmetrically coupled excitatory networks can exhibit oscillations.
    • The nature of oscillations (in-phase, antiphase, quasiperiodic, phase-trapped) depends on synaptic depression parameters.
    • Purely excitatory networks with synaptic depression can generate rhythmic activity without pacemakers.

    Conclusions:

    • Synaptic depression is a crucial mechanism for generating rhythmic activity in neuronal networks.
    • Activity-dependent tuning of synaptic depression may underlie the function of biological pattern generators.
    • Coupled excitatory networks offer a simplified model for understanding complex rhythmic behaviors.