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BioInformation Processing: A Primer on Computational Cognitive Science

✍ Scribed by James K. Peterson (auth.)

Publisher
Springer Singapore
Year
2016
Tongue
English
Leaves
584
Series
Cognitive Science and Technology
Edition
1
Category
Library
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✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xxxv
Front Matter....Pages 1-1
BioInformation Processing....Pages 3-15
Front Matter....Pages 17-17
The Diffusion Equation....Pages 19-37
Integral Transforms....Pages 39-44
The Time Dependent Cable Solution....Pages 45-58
Front Matter....Pages 59-59
Mammalian Neural Structure....Pages 61-82
Abstracting Principles of Computation....Pages 83-105
Second Messenger Diffusion Pathways....Pages 107-116
Second Messenger Models....Pages 117-136
The Abstract Neuron Model....Pages 137-171
Front Matter....Pages 173-173
Emotional Models....Pages 175-182
Generation of Music Data: J. Peterson and L. Dzuris....Pages 183-204
Generation of Painting Data: J. Peterson, L. Dzuris and Q. Peterson....Pages 205-225
Modeling Compositional Design....Pages 227-250
Networks of Excitable Neurons....Pages 251-276
Training the Model....Pages 277-284
Front Matter....Pages 285-285
Matrix Feed Forward Networks....Pages 287-314
Chained Feed Forward Architectures....Pages 315-330
Front Matter....Pages 331-331
Graph Models....Pages 333-415
Address Based Graphs....Pages 417-460
Building Brain Models....Pages 461-491
Front Matter....Pages 493-493
Models of Cognitive Dysfunction....Pages 495-515
Front Matter....Pages 517-517
Conclusions....Pages 519-522
Front Matter....Pages 523-523
Background Reading....Pages 525-537
Back Matter....Pages 539-570

✦ Subjects

Computational Intelligence; Theoretical, Mathematical and Computational Physics; Mathematical Models of Cognitive Processes and Neural Networks; Artificial Intelligence (incl. Robotics); Computer Imaging, Vision, Pattern Recognition and G

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