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 Mat Lab tools, and also highlights a simple model of cognitive dysfunction.Bio Information Processing: A Primer on Computational Cognitive Science is written by James K. Peterson and published by Springer. ISBNs for Bio Information Processing are 9789812878717, 9812878718 and the print ISBNs are 9789812878694, 9812878696.

