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Peterson, James K.

BioInformation Processing

Peterson, James K. - BioInformation Processing, ebook

230,65€

Ebook, PDF with Adobe DRM
ISBN: 9789812878717
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Table of contents

Part I. Introductory Matter

1. BioInformation Processing
James K. Peterson

Part II. Diffusion Models

2. The Diffusion Equation
James K. Peterson

3. Integral Transforms
James K. Peterson

4. The Time Dependent Cable Solution
James K. Peterson

Part III. Neural Systems

5. Mammalian Neural Structure
James K. Peterson

6. Abstracting Principles of Computation
James K. Peterson

7. Second Messenger Diffusion Pathways
James K. Peterson

8. Second Messenger Models
James K. Peterson

9. The Abstract Neuron Model
James K. Peterson

Part IV. Models of Emotion and Cognition

10. Emotional Models
James K. Peterson

11. Generation of Music Data: J. Peterson and L. Dzuris
James K. Peterson

12. Generation of Painting Data: J. Peterson, L. Dzuris and Q. Peterson
James K. Peterson

13. Modeling Compositional Design
James K. Peterson

14. Networks of Excitable Neurons
James K. Peterson

15. Training the Model
James K. Peterson

Part V. Simple Abstract Neurons

16. Matrix Feed Forward Networks
James K. Peterson

17. Chained Feed Forward Architectures
James K. Peterson

Part VI. Graph Based Modeling In Matlab

18. Graph Models
James K. Peterson

19. Address Based Graphs
James K. Peterson

20. Building Brain Models
James K. Peterson

Part VII. Models of Cognition Dysfunction

21. Models of Cognitive Dysfunction
James K. Peterson

Part VIII. Conclusions

22. Conclusions
James K. Peterson

Part IX. Background Reading

23. Background Reading
James K. Peterson

Keywords: Engineering, 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 Graphics

Author(s)
Publisher
Springer
Publication year
2016
Language
en
Edition
1st ed. 2016
Series
Cognitive Science and Technology
Page amount
35 pages
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9789812878717
Printed ISBN
978-981-287-869-4

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