Image from Coce

Computational neurogenetic modeling / Lubica Benuskova and Nikola Kasabov.

By: Contributor(s): Material type: TextTextSeries: Topics in biomedical engineering international book seriesPublisher: New York : Springer, [2007]Copyright date: ©2007Description: xii, 290 pages : illustrations (some colour) ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780387483535
  • 0387483535
Subject(s): DDC classification:
  • 573.80113 22
LOC classification:
  • QP356.22 .B46 2007
Contents:
1. Computational neurogenetic modeling (CNGM) : a brief introduction -- 2. Organization and functions of the brain -- 3. Neuro-information processing in the brain -- 4. Artificial neural networks (ANN) -- 5. Evolving connectionist systems (ECOS) -- 6. Evolutionary computation for model and feature optimization -- 7. Gene/protein interactions - modeling gene regulatory networks (GRN) -- 8. CNGM as integration of GPRN, ANN and evolving processes -- 9. Application of CNGM to learning and memory -- 10. Applications of CNGM and future development.
Review: "Computational Neurogenetic Modeling is essential reading for postgraduate students and researchers in the areas of information science, artificial intelligence, neurosciences, bioinformatics and cognitive sciences. This volume is structured so that every chapter can be used as reading material for research oriented courses at a postgraduate level."--BOOK JACKET.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 573.80113 BEN (Browse shelf(Opens below)) 1 Available A387293B
Book City Campus City Campus Main Collection 573.80113 BEN (Browse shelf(Opens below)) 1 Available A399761B

"Integrating bioinformatics and neuroscience data, information and knowledge via computational intelligence"--P. 4 of cover.

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

1. Computational neurogenetic modeling (CNGM) : a brief introduction -- 2. Organization and functions of the brain -- 3. Neuro-information processing in the brain -- 4. Artificial neural networks (ANN) -- 5. Evolving connectionist systems (ECOS) -- 6. Evolutionary computation for model and feature optimization -- 7. Gene/protein interactions - modeling gene regulatory networks (GRN) -- 8. CNGM as integration of GPRN, ANN and evolving processes -- 9. Application of CNGM to learning and memory -- 10. Applications of CNGM and future development.

"Computational Neurogenetic Modeling is essential reading for postgraduate students and researchers in the areas of information science, artificial intelligence, neurosciences, bioinformatics and cognitive sciences. This volume is structured so that every chapter can be used as reading material for research oriented courses at a postgraduate level."--BOOK JACKET.

There are no comments on this title.

to post a comment.

Powered by Koha