Computational Neurogenetic Modeling

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Springer Science & Business Media, May 5, 2010 - Technology & Engineering - 290 pages

Computational Neurogenetic Modeling is a student text, introducing the scope and problems of a new scientific discipline - Computational Neurogenetic Modeling (CNGM). CNGM is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic interactions between genes. These include neural network models and their integration with gene network models. This new area brings together knowledge from various scientific disciplines, such as computer and information science, neuroscience and cognitive science, genetics and molecular biology, as well as engineering.

 

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Contents

A Brief Introduction
1
2 Organization and Functions of the Brain
17
3 NeuroInformation Processing in the Brain
53
4 Artificial Neural Networks ANN
81
5 Evolving Connectionist Systems ECOS
107
6 Evolutionary Computation for Model and Feature Optimization
127
7 GeneProtein Interactions Modeling Gene Regulatory Networks GRN
137
8 CNGM as Integration of GPRN ANN and Evolving Processes
155
9 Application of CNGM to Learning and Memory
177
10 Applications of CNGM and Future Development
204
Appendix 1
237
Appendix 2
247
Appendix 3
257
References
259
Index
287
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