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Related Experiment Videos

Consciousness & the small network argument.

Michael H Herzog1, Michael Esfeld, Wulfram Gerstner

  • 1Laboratory of Psychophysics, Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland. michael.herzog@epfl.ch

Neural Networks : the Official Journal of the International Neural Network Society
|September 29, 2007
PubMed
Summary
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Researchers are exploring consciousness, a major human puzzle. Current models may be incomplete due to the "small network argument," highlighting a need for new theories in consciousness studies.

Area of Science:

  • Neuroscience
  • Philosophy of Mind
  • Cognitive Science

Background:

  • Consciousness remains a profound mystery and a significant challenge in human understanding.
  • Recent years have seen increased scientific and philosophical interest in explaining consciousness.
  • Existing theoretical frameworks for consciousness are being critically examined.

Purpose of the Study:

  • To address the limitations of current consciousness models.
  • To introduce and elaborate on the

Main Methods:

  • Conceptual analysis of existing consciousness theories.
  • Development of the "small network argument" as a critique.

Main Results:

  • Identification of a critical flaw in current models of consciousness.

Related Experiment Videos

  • The "small network argument" suggests that existing theories may oversimplify neural network complexity.

    • Conclusions:

    • Current models of consciousness are likely incomplete.
    • The "small network argument" necessitates a re-evaluation of how consciousness is modeled.
    • Further research is required to develop more comprehensive theories of consciousness.