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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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Edition | Availability |
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1
BioInformation Processing: A Primer on Computational Cognitive Science
2018, Springer Singapore Pte. Limited
in English
9811357188 9789811357183
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2
BioInformation Processing: A Primer on Computational Cognitive Science
2016, Springer London, Limited
in English
9812878718 9789812878717
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3
BioInformation Processing: A Primer on Computational Cognitive Science
Feb 19, 2016, Springer
hardcover
9812878696 9789812878694
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Source title: BioInformation Processing: A Primer on Computational Cognitive Science (Cognitive Science and Technology)
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- Created May 23, 2020
- 2 revisions
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December 29, 2021 | Edited by ImportBot | import existing book |
May 23, 2020 | Created by ImportBot | Imported from amazon.com record |