Bisher 122,99 €**
120,99 €
versandkostenfrei*

inkl. MwSt.
**Früherer Preis
Sofort lieferbar
60 °P sammeln
    Gebundenes Buch

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.…mehr

Produktbeschreibung
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.
  • Produktdetails
  • Topics in Biomedical Engineering. International Book Series
  • Verlag: Springer, Berlin
  • Artikelnr. des Verlages: 11370192
  • Erscheinungstermin: 3. Mai 2007
  • Englisch
  • Abmessung: 241mm x 160mm x 24mm
  • Gewicht: 695g
  • ISBN-13: 9780387483535
  • ISBN-10: 0387483535
  • Artikelnr.: 21782260
Autorenporträt
Lubica Benuskova, Auckland University of Technology, Penrose, Auckland, New Zealand / Nikola Kasabov, Auckland University of Technology, Penrose, Auckland, New Zealand
Inhaltsangabe
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.