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Perspectives on Neuroscience
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Two views on the cognitive brain.

David L Barack1,2, John W Krakauer3,4,5,6

  • 1Department of Philosopy, University of Pennsylvania, Philadelphia, PA, USA. dbarack@gmail.com.

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|April 16, 2021
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Summary
This summary is machine-generated.

Cognition involves brain computation for adaptive behavior. The Hopfieldian view, focusing on representational spaces, offers a more robust framework for understanding neural computation than the Sherringtonian neuron-centric approach.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Cognition is defined as computation over meaningful neural representations enabling adaptive behavior.
  • Two implicit views on brain-cognition relationship exist: Sherringtonian and Hopfieldian.
  • The Sherringtonian view emphasizes specific neurons and circuits, while the Hopfieldian view focuses on representational spaces.

Purpose of the Study:

  • To delineate and contrast the Sherringtonian and Hopfieldian views of brain-cognition.
  • To argue for the superiority of the Hopfieldian approach in explaining complex cognitive functions.
  • To highlight the need for novel neurofunctional objects as primary explainers of cognition.

Main Methods:

  • Conceptual analysis of existing literature on cognition and neuroscience.
  • Comparative evaluation of the Sherringtonian and Hopfieldian theoretical frameworks.
  • Identification of the representational and computational requirements for explaining cognition.

Main Results:

  • The Sherringtonian view explains cognition via signal operations in neural circuits.
  • The Hopfieldian view explains cognition through transformations within representational spaces.
  • The Hopfieldian approach provides the necessary resources for developing novel neurofunctional explainers.

Conclusions:

  • The Hopfieldian view is better equipped to explain cognition due to its focus on representational spaces.
  • Details of specific neurons are secondary explainers in the Hopfieldian framework.
  • Novel neurofunctional objects derived from the Hopfieldian approach are essential for advancing cognitive science.