Resource type

Neural Algebra and Consciousness: A Theory of Structural Functionality in Neural Nets

Resource type
Authors/contributors
Title
Neural Algebra and Consciousness: A Theory of Structural Functionality in Neural Nets
Abstract
Thoughts are spatio-temporal patterns of coalitions of firing neurons and their interconnections. Neural algebras represent these patterns as formal algebraic objects, and a suitable composition operation reflects their interaction. Thus, a neural algebra is associated with any neural net. The present paper presents this formalization and develops the basic algebraic tools for formulating and solving the problem of finding the neural correlates of concepts such as reflection, association, coordination, etc. The main application is to the notion of consciousness, whose structural and functional basis is made explicit as the emergence of a set of solutions to a fixpoint equation.
Book Title
Algebraic Biology
Volume
5147
Place
Berlin, Heidelberg
Publisher
Springer Berlin Heidelberg
Date
2008
Pages
96-109
Language
en
ISBN
978-3-540-85100-4 978-3-540-85101-1
Short Title
Neural Algebra and Consciousness
Accessed
2019-11-22T18:24:23Z
Library Catalog
Crossref
Extra
ZSCC: NoCitationData[s0] DOI: 10.1007/978-3-540-85101-1_8
Citation
Engeler, E. (2008). Neural Algebra and Consciousness: A Theory of Structural Functionality in Neural Nets. In K. Horimoto, G. Regensburger, M. Rosenkranz, & H. Yoshida (Eds.), Algebraic Biology (Vol. 5147, pp. 96–109). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-85101-1_8
BIOLOGY, NEUROSCIENCE & PSYCHOLOGY
Methodology
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