Computational Neurogenetic Modeling (Record no. 57769)

MARC details
000 -LEADER
fixed length control field 05383nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-0-387-48355-9
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250710084002.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100504s2007 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387483559
-- 99780387483559
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-0-387-48355-9
Source of number or code doi
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 610.28
Edition information 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Benuskova, Lubica.
Relator term author.
245 10 - TITLE STATEMENT
Title Computational Neurogenetic Modeling
Medium [recurso electrónico] /
Statement of responsibility, etc. by Lubica Benuskova, Nikola Kasabov.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boston, MA :
Name of producer, publisher, distributor, manufacturer Springer US,
Date of production, publication, distribution, manufacture, or copyright notice 2007.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 290 p.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term recurso en línea
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Topics in Biomedical Engineering. International Book Series
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc. Computational Neurogenetic Modeling Integrating Bioinformatics and Neuroscience Data, Information and Knowledge via Computational Intelligence Lubica Benuskova and Nikola Kasabov With the presence of a great amount of both brain and gene data related to brain functions and diseases, it is required that sophisticated computational neurogenetic models be created to facilitate new discoveries that will help researchers in understanding the brain in its complex interaction between genetic and neuronal processes. Initial steps in this direction are underway, using the methods of computational intelligence to integrate knowledge, data and information from genetics, bioinfomatics and neuroscience. Computational Neurogenetic Modeling offers the knowledge base for creating such models covering the areas of neuroscience, genetics, bioinformatics and computational intelligence. This multidisciplinary background is then integrated into a generic computational neurogenetic modeling methodology. computational neurogenetic models offer vital applications for learning and memory, brain aging and Alzheimer's disease, Parkinson's disease, mental retardation, schizophrenia and epilepsy. Key Topics Include: Brain Information Processing Methods of Computational Intelligence, Including: Artificial Neural Networks Evolutionary Computation Evolving Connectionist Systems Gene Information Processing Methodologies for Building Computational Neurogenetic Models Applications of CNGM for modeling brain functions and diseases Computational Neurogenetic Modeling is essential reading for postgraduate students and researchers in the areas of information sciences, artificial intelligence, neurosciences, bioinformatics and cognitive sciences. This volume is structured so that every chapter can be used as a reading material for research oriented courses at a postgraduate level. About the Authors: Lubica Benuskova is currently Senior Research Fellow at the Knowledge Engineering & Discovery Research Institute (KEDRI, www.kedri.info), Auckland University of Technology (AUT) in Auckland, New Zealand. She is also Associate Professor of Applied Informatics at the Faculty of Mathematics, Physics and Informatics at Comenius (Komensky) University in Bratislava, Slovakia. Her research interests are in the areas of computational neuroscience, cognitive science, neuroinformatics, computer and information sciences. Nikola Kasabov is the Founding Director and Chief Scientist of KEDRI, and a Professor and Chair of Knowledge Engineering at the School of Computer and Information Sciences at AUT. He is a leading expert in computational intelligence and knowledge engineering and has published more than 400 papers, books and patents in the areas of neural and hybrid intelligent systems, bioinformatics and neuroinformatics, speech-, image and multimodal information processing. He is a Fellow of the Royal Society of New Zealand, Senior Member of IEEE, Vice President of the International Neural Network Society and a Past President of the Asia-Pacific Neural Network Assembly.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element ENGINEERING.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element HUMAN GENETICS.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element NEUROSCIENCES.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element INFORMATION SYSTEMS.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BIOINFORMATICS.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BIOMEDICAL ENGINEERING.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element ENGINEERING.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BIOMEDICAL ENGINEERING.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BIOINFORMATICS.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element NEUROSCIENCES.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element HUMAN GENETICS.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element INFORMATION SYSTEMS AND COMMUNICATION SERVICE.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BIOPHYSICS AND BIOLOGICAL PHYSICS.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kasabov, Nikola.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9780387483535
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Topics in Biomedical Engineering. International Book Series
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-0-387-48355-9">http://dx.doi.org/10.1007/978-0-387-48355-9</a>
Public note Ver el texto completo en las instalaciones del CICY
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-- ZDB-2-ENG
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Libros electrónicos
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Price effective from Koha item type
  Dewey Decimal Classification     Libro electrónico CICY CICY Libro electrónico 10.07.2025   610.28 10.07.2025 10.07.2025 Libros electrónicos