© 2016

BioInformation Processing

A Primer on Computational Cognitive Science


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

Table of contents

  1. Front Matter
    Pages i-xxxv
  2. Introductory Matter

    1. Front Matter
      Pages 1-1
    2. James K. Peterson
      Pages 3-15
  3. Diffusion Models

    1. Front Matter
      Pages 17-17
    2. James K. Peterson
      Pages 19-37
    3. James K. Peterson
      Pages 39-44
    4. James K. Peterson
      Pages 45-58
  4. Neural Systems

    1. Front Matter
      Pages 59-59
    2. James K. Peterson
      Pages 61-82
    3. James K. Peterson
      Pages 83-105
    4. James K. Peterson
      Pages 107-116
    5. James K. Peterson
      Pages 117-136
    6. James K. Peterson
      Pages 137-171
  5. Models of Emotion and Cognition

    1. Front Matter
      Pages 173-173
    2. James K. Peterson
      Pages 175-182
    3. James K. Peterson
      Pages 183-204
    4. James K. Peterson
      Pages 227-250
    5. James K. Peterson
      Pages 251-276
    6. James K. Peterson
      Pages 277-284

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.


Abstract Computation BioInformation Processing Brain Models Chained Feed Forward Networks Cognitive Dysfunction Models Lagged Chains Matrix Feed Forward Networks Neural Structure

Authors and affiliations

  1. 1.Dept of Mathematical SciencesClemson UniversityClemsonUSA

About the authors

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.

Bibliographic information

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