preprints.org > biology and life sciences > biophysics > doi: 10.20944/preprints202210.0186.v3

Preprint Article Version 3 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 12 October 2022 / Approved: 13 October 2022 / Online: 13 October 2022 (05:50:35 CEST)
Version 2 : Received: 17 October 2022 / Approved: 18 October 2022 / Online: 18 October 2022 (02:37:36 CEST)
Version 3 : Received: 3 November 2022 / Approved: 4 November 2022 / Online: 4 November 2022 (09:43:59 CET)

This concept paper gives a narrative about intelligence from insects to the human brain, showing where evolution may have been influenced by the structures in these simpler organisms. The ideas also come from the author's own cognitive model, where a number of algorithms have been developed over time and the precursor structures should be codable to some level. Through developing and trying to implement the design, ideas like separating the data from the function have become architecturally appropriate and there have been several opportunities to make the system more orthogonal. Similarly for the human brain, neural structures may work in-sync with the neural functions, or may be slightly separate from them. Each section discusses one of the neural assemblies with a potential functional result, that cover ideas such as timing or scheduling, structural intelligence and neural binding. Another aspect of self-representation or expression is interesting and may help the brain to realise higher-level functionality based on these lower-level processes.

neural; brain; structural intelligence; cell expression; evolution

Biology and Life Sciences, Biophysics

* All users must log in before leaving a comment