BioInformation Processing A Primer on Computational Cognitive Science /

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...

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Bibliographic Details
Main Author: Peterson, James K. (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Series:Cognitive Science and Technology,
Subjects:
Computational intelligence.
Mathematical physics.
Neural networks (Computer science) .
Artificial intelligence.
Image processing > Digital techniques.
Computer vision.
Computational Intelligence.
Theoretical, Mathematical and Computational Physics.
Mathematical Models of Cognitive Processes and Neural Networks.
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Online Access:Full-text access
Description
Summary: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.
Physical Description:XXXV, 570 p. 165 illus. in color. online resource.
ISBN:9789812878717
ISSN:2195-3996
DOI:10.1007/978-981-287-871-7

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