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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.
This is a digital product.
BioInformation Processing: A Primer on Computational Cognitive Science is written by James K. Peterson and published by Springer. The Digital and eTextbook ISBNs for BioInformation Processing are 9789812878717, 9812878718 and the print ISBNs are 9789812878694, 9812878696.

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