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Interactions among neural networks for behavior

P S Dickinson1

  • 1Department of Biology, Bowdoin College, Brunswick, Maine 04011, USA.

Current Opinion in Neurobiology
|December 1, 1995
PubMed
Summary
This summary is machine-generated.

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Neural networks controlling behavior are dynamic, interacting extensively and adapting through neuromodulators. These neural circuits can reconfigure, demonstrating remarkable flexibility in generating diverse motor patterns.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Understanding of pattern-generating neural networks has advanced.
  • Interactions between multiple neural networks are increasingly studied.
  • Neuromodulators can alter network interactions.

Purpose of the Study:

  • To examine the interactions of multiple neural networks.
  • To elucidate the mechanisms underlying neural network interactions and reconfigurations.
  • To investigate how neural networks generate and adapt behaviors.

Main Methods:

  • Analysis of neural network interactions in various biological systems.
  • Investigation of neuromodulatory effects on neural network connectivity.
  • Examination of intrinsic membrane properties and synaptic strengths in neural circuits.

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Main Results:

  • Functionally related pattern generators exhibit extensive interactions.
  • The degree of interaction between neural networks is plastic and modulated.
  • Neural networks can switch between generators, fuse, or be dismantled and reassembled.

Conclusions:

  • Neural network interactions are dynamic and subject to neuromodulation.
  • Circuit reconfigurations involve changes in neuronal intrinsic properties and synaptic efficacy.
  • These mechanisms provide flexibility for generating diverse behaviors.