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Microscopic computation in human brain evolution

R Wallace1

  • 1University of Central Florida Orlando, USA.

Behavioral Science
|April 1, 1995
PubMed
Summary
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Human problem-solving, particularly the Traveling Salesman Problem (TSP), relies on complex neurobiological computations beyond simple Euclidean calculations. This study proposes a microscopic model for enhanced parallel processing and consciousness.

Area of Science:

  • Cognitive Science
  • Neurobiology
  • Computational Psychology

Background:

  • Human cognitive abilities show a paradox: simple computations are difficult, yet complex problems like the Traveling Salesman Problem (TSP) are solved efficiently.
  • Existing models often overlook the intricate constraints, including emotional and autonomic factors, that influence human problem-solving.

Purpose of the Study:

  • To propose a novel neurobiological model for understanding human computational power.
  • To explore the role of microscopic processes in solving complex problems like TSP.
  • To examine the link between microscopic computation and consciousness.

Main Methods:

  • Development of a microscopic neurobiological model focusing on excited atoms within neuronal membranes.
  • Analysis of computational problem-solving through the lens of natural selection and global optimization.

Related Experiment Videos

  • Theoretical examination of consciousness and potential simulation models.

    • Main Results:

    • The proposed model suggests that human TSP solutions involve parallel processing influenced by emotional, autonomic, and cognitive constraints.
    • This microscopic approach offers an alternative to classical connectionist models in explaining computational efficiency.
    • Natural selection pressures are hypothesized to drive computations toward global optimization.

    Conclusions:

    • Human computational prowess, especially in complex routing problems, may stem from microscopic neurobiological processes.
    • The model provides a framework for investigating the relationship between neural computation, consciousness, and evolutionary pressures.
    • Further simulation studies are suggested to validate the proposed mathematical models.