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Pattern generation

R M Harris-Warrick1

  • 1Section of Neurobiology and Behavior, Cornell University, Ithaca, New York 14853.

Current Opinion in Neurobiology
|December 1, 1993
PubMed
Summary
This summary is machine-generated.

Researchers are uncovering cellular mechanisms for neural pattern generation. Slow neuromodulators play key roles in network function, development, and behavior coordination, with new models enhancing research.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Developmental Neuroscience

Background:

  • Cellular mechanisms for neural pattern generation are increasingly understood.
  • Slow neuromodulators significantly influence neural network function, development, and behavior.
  • Coordination between multiple neural networks is an active area of research.

Purpose of the Study:

  • To review advances in understanding cellular mechanisms for pattern generation.
  • To highlight the role of slow neuromodulators in neural networks and behavior.
  • To discuss the study of inter-network coordination and the development of quantitative models.

Main Methods:

  • Review of existing literature on neural pattern generation.
  • Analysis of the role of neuromodulators in network function and development.

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  • Examination of research on inter-network coordination and neuronal switching.
  • Discussion of newly developed quantitative models for neural networks.

    • Main Results:

    • Significant progress has been made in elucidating cellular mechanisms for pattern generation.
    • Slow neuromodulators are integral to neural network function, development, and behavior.
    • Mechanisms of coordination between multiple pattern-generating networks are under investigation.
    • New quantitative models are enhancing the study of neural network function.

    Conclusions:

    • Understanding of neural pattern generation has advanced significantly.
    • Slow neuromodulators are crucial for neural network development and function.
    • Research is actively exploring inter-network coordination and utilizing quantitative models.