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008			131121s2014 ne | s |||| 0|eng d
020			_a9789400777385
024	7		_a10.1007/978-94-007-7738-5 _2doi
040			_dES-MaUEC
050		4	_aQP357.5 _bG364 2014
100	1		_aGómez-Ramirez, Jaime _986289
245	1	2	_aA New Foundation for Representation in Cognitive and Brain Science : _bCategory Theory and the Hippocampus _cby Jaime Gómez-Ramirez
260			_aDordrecht, Netherlands _bSpringer International Publishing _c2014
300			_a1 recurso en línea (XXIII, 193 p.) _b73 ilustraciones, 40 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringer Series in Cognitive and Neural Systems _v7
505	0		_aPreface -- 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.
520			_aThe 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.
650		7	_2embne _9141010 _aNeuropsicología
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-94-007-7738-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907			_a.b12825177 _b10-10-17 _c01-10-14
942			_2lcc _cLE
945			_aQP357.5 G364 2014 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11554381 _z06-04-17
988			_aEBSPRINGER
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _gne _h2