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BioInformation Processing

A Primer on Computational Cognitive Science

  • Book
  • © 2016

Overview

  • Uses the principles of computation in neural systems to develop approximations for neural computation
  • Proposes network models of computation based on models of emotion arising from musical and painting data
  • Uses graphical computational tools for exploring neural models
  • Includes supplementary material: sn.pub/extras

Part of the book series: Cognitive Science and Technology (CSAT)

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Table of contents (23 chapters)

  1. Simple Abstract Neurons

  2. Graph Based Modeling In Matlab

  3. Models of Cognition Dysfunction

  4. Conclusions

  5. Background Reading

Keywords

About this book

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.

Authors and Affiliations

  • Dept of Mathematical Sciences, Clemson University, Clemson, USA

    James K. Peterson

About the author

Dr. James Peterson is an Associate Professor in Mathematical Sciences and Biological Sciences at Clemson University, USA. His formal training is in mathematics but he has worked as an aerospace engineer and a software engineer also. He enjoys working on very hard problems that require multiple disciplines to make sense out of and he reads, studies and plays in cutting edge areas a lot as part of his interests.

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