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BioInformation Processing = A Primer on Computational Cognitive Science /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	BioInformation Processing/ by James K. Peterson.
其他題名:	A Primer on Computational Cognitive Science /
作者:	Peterson, James K.
面頁冊數:	XXXV, 570 p. 165 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-981-287-871-7
ISBN:	9789812878717

BioInformation Processing = A Primer on Computational Cognitive Science /
Peterson, James K.

BioInformation ProcessingA Primer on Computational Cognitive Science /[electronic resource] :by James K. Peterson. - 1st ed. 2016. - XXXV, 570 p. 165 illus. in color.online resource. - Cognitive Science and Technology,2195-3988. - Cognitive Science and Technology,.

BioInformation Processing -- The Diﬀusion Equation -- Integral Transforms -- The Time Dependent Cable Solution -- Mammalian Neural Structure -- Abstracting Principles of Computation -- Abstracting Principles of Computation -- Second Messenger Diﬀusion Pathways -- The Abstract Neuron Model -- Emotional Models -- Generation of Music Data: J. Peterson and L. Dzuris -- Generation of Painting Data: J. Peterson, L. Dzuris and Q. Peterson -- Modeling Compositional Design -- Networks Of Excitable Neurons -- Training The Model -- Matrix Feed Forward Networks -- Chained Feed Forward Architectures -- Graph Models -- Address Based Graphs -- Building Brain Models -- Models of Cognitive Dysfunction -- Conclusions -- Background Reading.

This book shows how mathematics, computer science and science can be usefully and seamlessly intertwined. It begins with a general model of cognitive processes in a network of computational nodes, such as neurons, using a variety of tools from mathematics, computational science and neurobiology. It then moves on to solve the diffusion model from a low-level random walk point of view. It also demonstrates how this idea can be used in a new approach to solving the cable equation, in order to better understand the neural computation approximations. It introduces specialized data for emotional content, which allows a brain model to be built using MatLab tools, and also highlights a simple model of cognitive dysfunction.

ISBN: 9789812878717

Standard No.: 10.1007/978-981-287-871-7doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

BioInformation Processing = A Primer on Computational Cognitive Science /
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