Computational neurogenetic modeling

Author(s)

    • Benuskova, Lubica
    • Kasabov, Nikola

Bibliographic Information

Computational neurogenetic modeling

Lubica Benuskova and Nikola Kasabov

(Topics in biomedical engineering international book series)

Springer, c2007

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Note

Includes bibliographical references (p. [259]-286) and index

Description and Table of Contents

Description

This 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.

Table of Contents

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.

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Details

  • NCID
    BB00551865
  • ISBN
    • 9780387483535
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    New York
  • Pages/Volumes
    xii, 290 p.
  • Size
    25 cm
  • Parent Bibliography ID
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