9789402402155 - a new foundation for representation in cognitive and brain science: category theory and the hippocampus: 7 (springer series in cognitive and neural systems) de gómez-ramirez, jaime (14 resultados)
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Editorial: Springer 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Editorial: Springer 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Taschenbuch. Condición: Neu. A New Foundation for Representation in Cognitive and Brain Science | Category Theory and the Hippocampus | Jaime Gómez-Ramirez | Taschenbuch | xxiii | Englisch | 2016 | Springer | EAN 9789402402155 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen…[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Condición: New. pp. 193.
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Editorial: Springer, Springer 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 p…hysical 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.
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Editorial: Springer Verlag 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Paperback. Condición: Brand New. reprint edition. 220 pages. 9.25x6.10x0.52 inches. In Stock.
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Editorial: Springer 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Editorial: Springer 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Editorial: Springer 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Editorial: Springer Netherlands Aug 2016 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 rep…resentation 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. 220 pp. Englisch.
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Editorial: Springer Netherlands 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. It is a truly multidisciplinary book that provides interesting insights into mathematics, philosophy and neurobiologyThe book establishes a common working theoretical framework for mathematicians, philosophers and cog…nitive scientistsIt is .
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Editorial: Springer, Springer Aug 2016 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 represe…ntation 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 220 pp. Englisch.
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Editorial: Springer 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Condición: New. Print on Demand pp. 193.
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Editorial: Springer 2016
Serie: Springer Series in Cognitive and Neural Systems, Libro 7 de 12. Libro 7 de 12 - Springer Series in Cognitive and Neural Systems
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. 193.
