A new foundation for representation in cognitive and brain science [electronic resource] : category theory and the hippocampus / Jaime Gómez-Ramirez.
Gómez-Ramirez, Jaime, author.
2014
QP357.5
Available Online

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Title A new foundation for representation in cognitive and brain science [electronic resource] : category theory and the hippocampus / Jaime Gómez-Ramirez.
Author Gómez-Ramirez, Jaime, author.
ISBN 9789400777385 electronic book
9400777388 electronic book
9789400777378
DOI https://doi.org/10.1007/978-94-007-7738-5
Published Dordrecht : Springer, 2014.
Language English
Description 1 online resource (xxiii, 193 pages) : illustrations (some color).
Item Number 10.1007/978-94-007-7738-5 doi
Call Number QP357.5
Dewey Decimal Classification 612.8
Summary 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 thevalidity 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from PDF title page (SpringerLink, viewed November 25, 2013).
Series Springer series in cognitive and neural systems ; v.7.
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Research tools and paradigms
State of the Art: Mathematical approaches in brain science
The Categorical Imperative: Category theory in Cognitive and Brain Science
Elementary principles in cognitive systems modeling
The shift towards structure
A general framework for representation
Towards a Theory of Brain Structure and Function
A theory of hippocampus structure and function based on Category Theory
From Cells to Memories. A Categorical Approach
Epilogue.

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