Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Theory of Morphodynamic Information Processing: Linking Sensing to Behaviour

Mikko Juusola
* ORCID logo ,
Jouni Takalo
,
Joni Kemppainen
,
Keivan Razban Haghighi
,
Ben Scales
,
James McManus
,
Lars Chittka
Version 1 : Received: 15 August 2023 / Approved: 16 August 2023 / Online: 16 August 2023 (13:51:01 CEST)

How to cite: Juusola, M.; Takalo, J.; Kemppainen, J.; Razban Haghighi, K.; Scales, B.; McManus, J.; Chittka, L. Theory of Morphodynamic Information Processing: Linking Sensing to Behaviour. Preprints 2023, 2023081210. https://doi.org/10.20944/preprints202308.1210.v1 Juusola, M.; Takalo, J.; Kemppainen, J.; Razban Haghighi, K.; Scales, B.; McManus, J.; Chittka, L. Theory of Morphodynamic Information Processing: Linking Sensing to Behaviour. Preprints 2023, 2023081210. https://doi.org/10.20944/preprints202308.1210.v1

Abstract

The traditional understanding of brain function has predominantly focused on chemical and electrical processes. However, new research in fruit fly (Drosophila) binocular vision reveals ultrafast photomechanical photoreceptor movements significantly enhance information processing, thereby impacting a fly's perception of its environment and behaviour. The coding advantages resulting from these mechanical processes suggest that similar physical motion-based coding strategies may affect neural communication ubiquitously. The theory of neural morphodynamics proposes that rapid biomechanical movements and microstructural changes at the level of neurons and synapses enhance the speed and efficiency of sensory information processing, intrinsic thoughts, and actions by regulating neural information in a phasic manner. We propose that morphodynamic information processing evolved to drive predictive coding, synchronising cognitive processes across neural networks to match the behavioural demands at hand effectively.

Keywords

Vision; Information Theory; Neural Computation; Drosophila; Cognition; Compound Eye

Subject

Biology and Life Sciences, Neuroscience and Neurology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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