Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/27713

Title: Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system
Authors: Janson, Natalia B.
Marsden, Christopher J.
Keywords: Applied mathematics
Mathematics and computing
Issue Date: 2017
Publisher: Nature Publishing Group © The Author(s)
Citation: JANSON, N.B. and MARSDEN, C.J., 2017. Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system. Scientific Reports, 7, Article number: 17007.
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.
Description: This is an Open Access Article. It is published by Nature Publishing Group under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/
Sponsor: C.J.M. was supported by EPSRC (UK) EP/P504236/1 during his PhD studies in Loughborough University.
Version: Published
DOI: 10.1038/s41598-017-16994-y
URI: https://dspace.lboro.ac.uk/2134/27713
Publisher Link: https://doi.org/10.1038/s41598-017-16994-y
ISSN: 2045-2322
Appears in Collections:Published Articles (Maths)

Files associated with this item:

File Description SizeFormat
s41598-017-16994-y.pdfPublished version2.75 MBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.