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BioInformation processinga primer on...

Peterson, James K.

BioInformation processinga primer on computational cognitive science /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	BioInformation processingby James K. Peterson.
其他題名:	a primer on computational cognitive science /
作者:	Peterson, James K.
出版者:	Singapore :Springer Singapore :2016.
面頁冊數:	xxxv, 570 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Bioinformatics.
電子資源:	http://dx.doi.org/10.1007/978-981-287-871-7
ISBN:	9789812878717$q(electronic bk.)

BioInformation processinga primer on computational cognitive science /
Peterson, James K.

BioInformation processinga primer on computational cognitive science /[electronic resource] :by James K. Peterson. - Singapore :Springer Singapore :2016. - xxxv, 570 p. :ill., digital ;24 cm. - 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$q(electronic bk.)

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

194415
Bioinformatics.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

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520 $a 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.
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