1. Chaotic Dynamics in Biological Information Processing: Revisiting and Revealing its Logic (a mini-review)
- Author
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Basios, V. and Gunji, Y.-P.
- Subjects
Logic ,Decision Making ,Information Processing ,Chaos ,Bayesian Inference ,Rough Sets ,Quantum Cognition ,Coarse-Graining - Abstract
The role of chaos in biological information processing has been established as an important breakthroughof nonlinear dynamics, after the early pioneering work of J.S. Nicolis and notably in neuroscience by the work of WalterJ. Freeman and co-workers spanning more than three decades. In this work we revisit the subject and we further focuson novel results that reveal its underlying logical structure when faced with the cognition of ambiguous stimuli.We demonstrate, by utilizing a minimal model for apprehension and judgement related to Bayesian updating, thatthe fundamental characteristics of a biological processor obey in this case an extended, non-Boolean, logic which ischaracterized as a quantum logic. And we realize that in its essence the role of chaos in biological information processingaccounts for, and is fully compatible with, the logic of “quantum cognition” in psychology and neuroscience., №4(9) (2017)
- Published
- 2017
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