| 期刊全稱 | A New Foundation for Representation in Cognitive and Brain Science | | 期刊簡(jiǎn)稱 | Category Theory and | | 影響因子2023 | Jaime Gómez-Ramirez | | 視頻video | http://file.papertrans.cn/142/141548/141548.mp4 | | 發(fā)行地址 | It is a truly multidisciplinary book that provides interesting insights into mathematics, philosophy and neurobiology.The book establishes a common working theoretical framework for mathematicians, ph | | 學(xué)科分類(lèi) | Springer Series in Cognitive and Neural Systems | | 圖書(shū)封面 |  | | 影響因子 | .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 fundamen | | Pindex | Book 2014 |
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