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Brain self-organization dynamics

C C Turbes1

  • 1Division of Anatomy, Creighton University, Omaha, Nebraska 68178.

Biomedical Sciences Instrumentation
|January 1, 1993
PubMed
Summary
This summary is machine-generated.

Brain development utilizes biochemical and electrical signals to regulate gene expression. Electrical signals, transmitted by neurons, influence gene expression and computational processes, forming the basis of consciousness.

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Area of Science:

  • Neuroscience
  • Developmental Biology
  • Computational Neuroscience

Background:

  • Early brain development relies on biochemical signals within the cellular microenvironment.
  • Later development incorporates electrical signals, differentiating brain development from other organs.
  • Electrical signals interact with genes and their environments, influencing gene expression and post-translational modifications.

Purpose of the Study:

  • To explore the role of electrical signals in brain development and self-organization.
  • To understand how electrical signals influence gene expression and computational processes.
  • To elucidate the physiological basis of cause and effect in brain function.

Main Methods:

  • Conceptual analysis of signaling mechanisms in brain development.

Related Experiment Videos

  • Review of theories on self-organization and consciousness.
  • Exploration of the role of reafference in neural processing.

    • Main Results:

    • Electrical signals, transmitted via neuronal processes, significantly expand the complexity of the brain's environment for self-organization.
    • These electrical signals act as information carriers for computational processes.
    • A cyclical process involving goal-seeking, reafference, and sensory feedback is proposed as the basis for consciousness and the perception of cause and effect.

    Conclusions:

    • Electrical signaling is a critical component of advanced brain development, complementing biochemical signaling.
    • The brain's ability to process electrical signals contributes to its complex computational functions and self-organization.
    • Reafference mechanisms are fundamental to understanding consciousness and the brain's interpretation of sensory information and causality.