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An outline of brain function.

P F Gilbert1

  • 1Department of Anatomy and Developmental Biology, University College London, Gower Street, London WC1E 6BT, UK. p.gilbert@ucl.ac.uk

Brain Research. Cognitive Brain Research
|August 8, 2001
PubMed
Summary

The brain computes by storing memories in the cerebral cortex via long-term potentiation and recalling them at gamma frequency. Conscious thoughts arise from synchronized neural activity, influencing movements and potentially stored for automatic recall.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • The brain's computational mechanisms remain incompletely understood.
  • Existing models often focus on specific functions rather than integrated processing.
  • A comprehensive framework for brain computation, encompassing memory, consciousness, and action, is needed.

Purpose of the Study:

  • To propose a computational model of the brain.
  • To outline the neural mechanisms underlying memory storage and recall.
  • To explain the generation of conscious thought and its influence on motor control.

Main Methods:

  • The study proposes a theoretical framework based on existing neurobiological knowledge.
  • It outlines the roles of specific brain regions and neural processes, including the cerebral cortex, thalamus, cerebellum, basal ganglia, and hippocampus.
  • It describes memory storage via long-term potentiation and signal recall at gamma frequency.

Main Results:

  • Memories are stored in the cerebral cortex through long-term potentiation.
  • Conscious thoughts emerge from synchronized outputs of layer 5 cells in cortico-thalamic units.
  • Motor outputs can be consciously generated or automatically recalled via the cerebellum and basal ganglia.

Conclusions:

  • The brain differentiates between conscious and automatic outputs.
  • The hippocampus provides contextual information for memory recall, which can become independent with further association.
  • This model integrates memory, consciousness, and motor control within a unified computational framework.

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