From the hierarchical organization of the central nervous system to the hierarchical aspects of biocodes.
Biocoding
Cell networks
Cognition
Neurodynamics
Journal
Bio Systems
ISSN: 1872-8324
Titre abrégé: Biosystems
Pays: Ireland
ID NLM: 0430773
Informations de publication
Date de publication:
Sep 2019
Sep 2019
Historique:
received:
03
05
2019
revised:
21
05
2019
accepted:
22
05
2019
pubmed:
28
5
2019
medline:
23
2
2020
entrez:
26
5
2019
Statut:
ppublish
Résumé
The quite recent (at least on the evolutionary time scale) emergence of nervous systems in complex organisms enabled the living beings to build a wide-ranging model of the external world in order to predict and evaluate the outcomes of their actions. Such a process likely represents a real coding activity, since, by proper handling of information, it generates a mapping between the external environment and internal cerebral activity patterns. The patterns of neural activity that correspond to the final maps, however, emerge from the holistic assembly of a multilevel functional organization. Nerve tissue components, indeed, appear organized in compartments, also called functional modules (FM), that contain system components and circuits of different miniaturizations not only arranged to work together either in parallel or in series but also nested within each other. At least three levels can be recognized in a functional module and it is possible to point out that such a hierarchical organization of the brain circuits could be mirrored by a corresponding hierarchical organization of biocodes. This feature can also suggest the hypothesis that the same logic could operate also at system level to integrate FM into functional brain areas and to associate areas to generate the final map used by humans to image the external world and to imagine untestable worlds.
Identifiants
pubmed: 31128147
pii: S0303-2647(19)30170-4
doi: 10.1016/j.biosystems.2019.103975
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
103975Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.