Computational Neurogenetic Modelling
By Lubica Benuskova and Nikola Kasabov, Auckland University of Technology, Auckland, New Zealand
Computational Neurogenetic Modeling Series: Topics in Biomedical Engineering. International Book Series
Benuskova, Lubica, Kasabov, Nikola2007, XII, 292 p., 27 illus., 27 in colour, Hardcover
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About this book
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.
Written for Researchers in academia and industry, advanced undergraduates, graduate students in Biomedical Engineering: Bioinformatics applications across the disciplines of Computer and Information Sciences, Neuroscience and Cognitive Science, Genetics and Molecular Biology, Bioengineering and Engineering.
Table of contents Introduction
Part I. Neuro-Information Processing: Organisation and Functions of the Brain -Neuro-Information Processing in the Brain -Measuring Activities of the Brain.
Part II. Artifical Neural Networks (ANN) and Connectionist Systems: Artifical Neural Networks (ANN) -Neurocomputing Models of Brain Functions.
Part III. Gene Information Processing: Genes and Cellular Processes - Computational Models of Gene Information Processing.
Part IV. Neuro-Genetic Information Processing: Neuro-Genetic Processes in the Brain.- Computational Neuro-Genetic Modeling (CNGM).- CNGM of Brain Functions and Diseases.- Conclusion and Future Directions.- References.- Appendices.- Glossary.- Index.
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