The multidimensional brain.

Big data Central nervous system Neural networks Phase space Topology

Journal

Physics of life reviews
ISSN: 1873-1457
Titre abrégé: Phys Life Rev
Pays: Netherlands
ID NLM: 101229718

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 10 12 2017
revised: 17 05 2018
accepted: 27 12 2018
pubmed: 22 1 2019
medline: 6 5 2020
entrez: 22 1 2019
Statut: ppublish

Résumé

Brain activity takes place in three spatial-plus time dimensions. This rather obvious claim has been recently questioned by papers that, taking into account the big data outburst and novel available computational tools, are starting to unveil a more intricate state of affairs. Indeed, various brain activities and their correlated mental functions can be assessed in terms of trajectories embedded in phase spaces of dimensions higher than the canonical ones. In this review, I show how further dimensions may not just represent a convenient methodological tool that allows a better mathematical treatment of otherwise elusive cortical activities, but may also reflect genuine functional or anatomical relationships among real nervous functions. I then describe how to extract hidden multidimensional information from real or artificial neurodata series, and make clear how our mind dilutes, rather than concentrates as currently believed, inputs coming from the environment. Finally, I argue that the principle "the higher the dimension, the greater the information" may explain the occurrence of mental activities and elucidate the mechanisms of human diseases associated with dimensionality reduction.

Identifiants

pubmed: 30661792
pii: S1571-0645(19)30008-9
doi: 10.1016/j.plrev.2018.12.004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

86-103

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Arturo Tozzi (A)

Center for Nonlinear Science, University of North Texas, 1155 Union Circle, #311427 Denton, TX 76203-5017, USA. Electronic address: tozziarturo@libero.it.

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Classifications MeSH