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Analog Resonance Computation: A New Model for Human Cognition
1Consultant Anaesthetist, Swansea Bay University Health Board, Honorary Professor, Medical School, Swansea University, Swansea, United Kingdom.
Frontiers in Psychology
|October 5, 2020
Summary
Human cognition is not a digital computer but an analog one. Analyzing "atypical" behavior under stress reveals how the brain extracts information to model reality and respond to threats.
Area of Science:
- Cognitive Science
- Neuroscience
- Computational Neuroscience
Background:
- Early cognitive models viewed the brain as discrete digital modules.
- Recent theories propose a hierarchical, entropy-reducing brain architecture.
- High workload/stress reveals error-prone, seemingly irrational human behavior.
Purpose of the Study:
- Re-evaluate theories of human cognition by analyzing "atypical" behavior.
- Propose an analog computing paradigm for understanding cognitive processes.
- Highlight the role of information extraction in building internal reality models.
Main Methods:
- Conceptual analysis of existing cognitive models.
- Theoretical proposal of an analog, resonating circuit model.
- Emphasis on studying behavior under high workload/stress conditions.
Main Results:
- "Atypical" behavior under stress is informative, not anomalous.
- Human cognition functions as an analog computer, not a digital one.
- The brain's primary function is information extraction for reality modeling.
Conclusions:
- Cognitive theories should shift from digital to analog paradigms.
- Understanding analog processes is key to explaining complex cognitive functions.
- The brain's adaptive response to environmental complexity is central to cognition.
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