A New Foundation for Representation in Cognitive and Brain Science - Category Theory and the Hippocampus (Paperback, Softcover reprint of the original 1st ed. 2014)

The purpose of the book is to advance in the understanding of brain function by defining a general framework for representation based on category theory. The idea is to bring this mathematical formalism into the domain of neural representation of physical spaces, setting the basis for a theory of mental representation, able to relate empirical findings, uniting them into a sound theoretical corpus. The innovative approach presented in the book provides a horizon of interdisciplinary collaboration that aims to set up a common agenda that synthesizes mathematical formalization and empirical procedures in a systemic way. Category theory has been successfully applied to qualitative analysis, mainly in theoretical computer science to deal with programming language semantics. Nevertheless, the potential of category theoretic tools for quantitative analysis of networks has not been tackled so far. Statistical methods to investigate graph structure typically rely on network parameters. Category theory can be seen as an abstraction of graph theory. Thus, new categorical properties can be added into network analysis and graph theoretic constructs can be accordingly extended in more fundamental basis. By generalizing networks using category theory we can address questions and elaborate answers in a more fundamental way without waiving graph theoretic tools. The vital issue is to establish a new framework for quantitative analysis of networks using the theory of categories, in which computational neuroscientists and network theorists may tackle in more efficient ways the dynamics of brain cognitive networks. The intended audience of the book is researchers who wish to explore the validity of mathematical principles in the understanding of cognitive systems. All the actors in cognitive science: philosophers, engineers, neurobiologists, cognitive psychologists, computer scientists etc. are akin to discover along its pages new unforeseen connections through the development of concepts and formal theories described in the book. Practitioners of both pure and applied mathematics e.g., network theorists, will be delighted with the mapping of abstract mathematical concepts in the terra incognita of cognition.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Springer Series in Cognitive and Neural Systems, 7
Release date:	August 2016
First published:	2014
Authors:	Jaime Gomez-Ramirez
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	193
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-9402402155
Categories:	Books > Humanities > Philosophy > General Books > Social sciences > Psychology > Physiological & neuro-psychology Books > Medicine > Clinical & internal medicine > Neurology & clinical neurophysiology Books > Science & Mathematics > Mathematics > Mathematical foundations > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Philosophy > General Promotions
LSN:	9402402152
Barcode:	9789402402155

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