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1The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, Queen Square, London WC1N 3BG, United Kingdom. k.friston@ucl.ac.uk
Brains possess numerous connections to distill and model causal relationships within the sensory environment. This embodiment allows neural networks to represent cause-and-effect, explaining brain complexity.
Area of Science:
- Neuroscience
- Cognitive Science
- Philosophy of Mind
Background:
- The complexity of neural connections in the brain remains a significant area of inquiry.
- Understanding the functional role of these connections is crucial for deciphering brain mechanisms.
Purpose of the Study:
- To explore the principles behind the extensive connectivity observed in brains.
- To explain how neural connections facilitate the modeling of the external world.
Main Methods:
- Conceptual analysis of existing theories on brain function and information processing.
- Examination of Andy Clark's principles regarding causal inference and world modeling.
Main Results:
- Brain connections serve to distill causal regularities from sensory input.
- These connections embody the principle that causes have predictable consequences.
Conclusions:
- The high degree of neural connectivity is imperative for creating and maintaining internal models of the world.
- Embodied world models, facilitated by neural connections, are fundamental to cognitive processes.
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