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BioInformation processing[electronic resource] :a primer on computational cognitive science /

Record Type:	Language materials, printed : Monograph/item
[NT 15000414]:	570.285
Title/Author:	BioInformation processing : a primer on computational cognitive science // by James K. Peterson.
Author:	Peterson, James K.
Published:	Singapore : : Springer Singapore :, 2016.
Description:	xxxv, 570 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
Subject:	Bioinformatics.
Subject:	Computational neuroscience.
Subject:	Engineering.
Subject:	Computational Intelligence.
Subject:	Theoretical, Mathematical and Computational Physics.
Subject:	Mathematical Models of Cognitive Processes and Neural Networks.
Subject:	Artificial Intelligence (incl. Robotics)
Subject:	Computer Imaging, Vision, Pattern Recognition and Graphics.
ISBN:	9789812878717
ISBN:	9789812878694
[NT 15000228]:	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.
[NT 15000229]:	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.
Online resource:	http://dx.doi.org/10.1007/978-981-287-871-7

BioInformation processing[electronic resource] :a 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

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

184439
Bioinformatics.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

BioInformation processing[electronic resource] :a primer on computational cognitive science /
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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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