Computational neurogenetic modeling / Lubica Benuskova and Nikola Kasabov

Por: Benuskova, LubicaColaborador(es): Kasabov, NikolaTipo de material: TextoTextoSeries Topics in biomedical engineering international bookDetalles de publicación: New York : Springer, 2007 Descripción: XII, 290 p. ; 25 cmISBN: 0-387-48353-5Tema(s): Medicina del trabajo -- Informática | NeurologíaResumen: 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. Includes a forward by series editor Bin He, an IEEE Fellow and the IEEE's Engineering in Medicine and Biology Society's 2004 Neural Engineering ChairResumen: Índice: 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.- C... Etc.
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Bibliografía: p. [259]-286

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. Includes a forward by series editor Bin He, an IEEE Fellow and the IEEE's Engineering in Medicine and Biology Society's 2004 Neural Engineering Chair

Índice: 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.- C... Etc.

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