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Related Experiment Videos

Bistability, switches and working memory in a two-neuron inhibitory-feedback model

A B Kirillov1, C D Myre, D J Woodward

  • 1Biographics, Inc., Winston-Salem, NC 27104.

Biological Cybernetics
|January 1, 1993
PubMed
Summary

Neuronal networks exhibit bistability and switching, with spiking neurons showing spontaneous state changes. This switching behavior, influenced by afterhyperpolarization and synaptic potentials, enables programmable memory devices.

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Area of Science:

  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neostriatal circuitry-inspired inhibitory-feedback networks may exhibit bistability and spontaneous neuronal activity switching.
  • Neurons can switch between 'on' (generating impulses) and 'off' (quiescent) states, with existing 'on' neurons spontaneously switching 'off' and vice versa.

Purpose of the Study:

  • To examine the nature of bistability and switching in neuronal activity.
  • To investigate the mechanism of switching in spiking neurons.
  • To explore the potential of such networks as programmable memory devices.

Main Methods:

  • Bifurcation analysis of a nonspiking two-mutually-inhibitory-neuron model.
  • Computer simulations of a spiking neuron model (equivalent RC circuit).
  • Analysis using a two-state Markov chain model.

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Main Results:

  • Both nonspiking and spiking models can possess two stable states.
  • Only spiking neurons exhibit spontaneous switching.
  • Switching is dependent on afterhyperpolarization duration, inhibitory postsynaptic potentials (IPSPs), and neuron noise.
  • Localized excitatory input can rapidly alter states, allowing sustained patterns.

Conclusions:

  • Spiking neuronal networks demonstrate bistability and switching, distinct from nonspiking models.
  • The switching mechanism is quantifiable and influenced by specific physiological parameters.
  • These networks show promise as programmable memory devices due to their state-sustaining capabilities.