Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system

Abstract It is well known that architecturally the brain is a neural network, i.e. a collection of many relatively simple units coupled flexibly. However, it has been unclear how the possession of this architecture enables higher-level cognitive functions, which are unique to the brain. Here, we con...

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Autores principales:	Natalia B. Janson, Christopher J. Marsden
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a91d6fabc2b2436096b03c669b8efcb1
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spelling	oai:doaj.org-article:a91d6fabc2b2436096b03c669b8efcb12021-12-02T15:05:48ZDynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system10.1038/s41598-017-16994-y2045-2322https://doaj.org/article/a91d6fabc2b2436096b03c669b8efcb12017-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-16994-yhttps://doaj.org/toc/2045-2322Abstract It is well known that architecturally the brain is a neural network, i.e. a collection of many relatively simple units coupled flexibly. However, it has been unclear how the possession of this architecture enables higher-level cognitive functions, which are unique to the brain. Here, we consider the brain from the viewpoint of dynamical systems theory and hypothesize that the unique feature of the brain, the self-organized plasticity of its architecture, could represent the means of enabling the self-organized plasticity of its velocity vector field. We propose that, conceptually, the principle of cognition could amount to the existence of appropriate rules governing self-organization of the velocity field of a dynamical system with an appropriate account of stimuli. To support this hypothesis, we propose a simple non-neuromorphic mathematical model with a plastic self-organized velocity field, which has no prototype in physical world. This system is shown to be capable of basic cognition, which is illustrated numerically and with musical data. Our conceptual model could provide an additional insight into the working principles of the brain. Moreover, hardware implementations of plastic velocity fields self-organizing according to various rules could pave the way to creating artificial intelligence of a novel type.Natalia B. JansonChristopher J. MarsdenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-15 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Natalia B. Janson Christopher J. Marsden Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system
description	Abstract It is well known that architecturally the brain is a neural network, i.e. a collection of many relatively simple units coupled flexibly. However, it has been unclear how the possession of this architecture enables higher-level cognitive functions, which are unique to the brain. Here, we consider the brain from the viewpoint of dynamical systems theory and hypothesize that the unique feature of the brain, the self-organized plasticity of its architecture, could represent the means of enabling the self-organized plasticity of its velocity vector field. We propose that, conceptually, the principle of cognition could amount to the existence of appropriate rules governing self-organization of the velocity field of a dynamical system with an appropriate account of stimuli. To support this hypothesis, we propose a simple non-neuromorphic mathematical model with a plastic self-organized velocity field, which has no prototype in physical world. This system is shown to be capable of basic cognition, which is illustrated numerically and with musical data. Our conceptual model could provide an additional insight into the working principles of the brain. Moreover, hardware implementations of plastic velocity fields self-organizing according to various rules could pave the way to creating artificial intelligence of a novel type.
format	article
author	Natalia B. Janson Christopher J. Marsden
author_facet	Natalia B. Janson Christopher J. Marsden
author_sort	Natalia B. Janson
title	Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system
title_short	Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system
title_full	Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system
title_fullStr	Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system
title_full_unstemmed	Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system
title_sort	dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/a91d6fabc2b2436096b03c669b8efcb1
work_keys_str_mv	AT nataliabjanson dynamicalsystemwithplasticselforganizedvelocityfieldasanalternativeconceptualmodelofacognitivesystem AT christopherjmarsden dynamicalsystemwithplasticselforganizedvelocityfieldasanalternativeconceptualmodelofacognitivesystem
_version_	1718388723681329152

Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system

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