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Computational Neurogenetic Modeling
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Artikel-Nr:
9780387483535
Veröffentl:
2007
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
03.05.2007
Seiten:
316
Autor:
Nikola K. Kasabov
Gewicht:
699 g
Format:
241x160x24 mm
Serie:
Topics in Biomedical Engineering. International Book Series
Sprache:
Englisch
Beschreibung:
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.
This book introduces 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. The book is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic interactions between genes.
Computational Neurogenetic Modeling (CNGM): A Brief Introduction.- Organization and Functions of the Brain.- Neuro-Information Processing in the Brain.- Artificial Neural Networks (ANN).- Evolving Connectionist Systems (ECOS).- Evolutionary Computation for Model and Feature Optimization.- Gene/Protein Interactions - Modeling Gene Regulatory Networks (GRN).- CNGM as Integration of GPRN, ANN and Evolving Processes.- Application of CNGM to Learning and Memory.- Applications of CNGM and Future Development.