BioInformation Processing

A Primer on Computational Cognitive Science

Nonfiction, Science & Nature, Science, Physics, Mathematical Physics, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book BioInformation Processing by James K. Peterson, Springer Singapore
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Author: James K. Peterson ISBN: 9789812878717
Publisher: Springer Singapore Publication: February 10, 2016
Imprint: Springer Language: English
Author: James K. Peterson
ISBN: 9789812878717
Publisher: Springer Singapore
Publication: February 10, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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