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Is there a neural code?

J J Eggermont1

  • 1Department of Psychology, University of Calgary, Alberta, Canada.

Neuroscience and Biobehavioral Reviews
|May 14, 1998
PubMed
Summary
This summary is machine-generated.

The brain

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Area of Science:

  • Neuroscience
  • Computational Neuroscience

Background:

  • Neural coding encompasses rate coding and temporal coding.
  • Stationary state models view the brain as a decision-maker using rate coding.
  • Non-stationary models emphasize learning and plasticity, using temporal coding.

Purpose of the Study:

  • To propose a shift from stationary to non-stationary models of brain function.
  • To highlight the role of learning and plasticity in neural coding.
  • To identify the neural code's location in state-switching activity patterns.

Main Methods:

  • Conceptual analysis comparing stationary and non-stationary viewpoints.
  • Review of information processing approaches in neuroscience.
  • Focus on representational models and temporal coding in neural assemblies.

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Main Results:

  • Brain states dynamically change over time due to learning.
  • Temporal coding and neural assemblies are crucial in non-stationary states.
  • Activity patterns causing state-switching are key to the neural code.

Conclusions:

  • The brain's dynamic, non-stationary nature is critical for information processing.
  • Learning-induced state transitions, not static patterns, define the neural code.
  • Focus should shift to how neural activity drives plasticity and state changes.