Springer Handbook of Bio-/Neuro-Informatics

This book explores the interaction and mutual relationship of two important scientific disciplines: bioinformatics and neuroinformatics. The contents are organized in three broad sections: foundations, bioinformatics and neuroinformatics.

The Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two major science disciplines in their interaction and mutual relationship, namely: information sciences, bioinformatics and neuroinformatics. Bioinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. Neuroinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. The text contains 62 chapters organized in 12 parts, 6 of them covering topics from information science and bioinformatics, and 6 cover topics from information science and neuroinformatics. Each chapter consists of three main sections: introduction to the subject area, presentation of methods and advanced and future developments. The Springer Handbook of Bio-/Neuroinformatics can be used as both a textbook and as a reference for postgraduate study and advanced research in these areas. The target audience includes students, scientists, and practitioners from the areas of information, biological and neurosciences.With Forewords by Shun-ichi Amari of the Brain Science Institute, RIKEN, Saitama and Karlheinz Meier of the University of Heidelberg, Kirchhoff-Institute of Physics and Co-Director of the Human Brain Project.

A research- and application-oriented handbook that covers two of the hottest topics in science and technology A timely and up-to-date reference, edited by an internationally renowned expert Written by leading experts in the field Includes supplementary material: sn.pub/extras

Autorentext
Nikola K Kasabov is currently the Director of the Knowledge Engineering & Discovery Research Institute and Personal Chair of Knowledge Engineering in the School of Information Technology, Auckland University of Technology, New Zealand.
He has published over 350 works, among them journal papers, textbooks, edited research books and monographs, conference papers, book chapters, edited conference proceedings, patents and authorship certificates in the area of intelligent systems, connectionist and hybrid connectionist systems, fuzzy systems, expert systems, speech recognition, bioinformatics, neurocomputing and neural networks.

Prof. Kasabov is a Fellow of IEEE, Fellow of the Royal Society of New Zealand and the New Zealand Computer Society, President of the International Neural Network Society (INNS), Past President of the Asia Pacific Neural Network Assembly (APNNA) and also a member of INNS, ENNS, and the IEEE Computer Society. Recently Prof. Kasabov was endowed the titleof 'Guest Professor' at Shanghai Jiao Tong University, China.

Prof. Kasabov is the General Chairman of a series of biannual international conferences on Neurocomputing in New Zealand. In 2007 Prof. Kasabov was awarded The Bayer Science Innovator Award. He received The Royal Society of New Zealand Silver Medal for contribution to Science and Technology in 2001. He is an Associate Editor of numerous international journals and a leader of a National Research Programme funded by the Foundation for Research, Science and Technology (FRST)

Inhalt

Part A (Ed. Heike Sichtig) Understanding Information Processes in Biological Systems.- Part B (Ed.: Chris Brown) Molecular Biology, Genome and Proteome Informatics.- Part C (Eds: Irwin King, Kaizhu Huang, Heike Sichtig) Machine Learning Methods.- Part D (Eds: Chris Brown, Heike .Sichtig, Irwin King, Kaizhu Huang, Francesco Masulli ) Modeling Regulatory Networks: The Systems Biology Approach.- Part E (Ed.: Francesco Masulli) Bioinformatics Databases and Ontologies.- Part F (Eds: Francesco Masulli, Danilo Mandic) Bioinformatics in Medicine, Health and Ecology.- Part G (Ed.: Heike Sichtig) Understanding Information Processes in the Brain and the Nervous System.- Part H (Ed.: Danilo Mandic) Advanced Signal Processing Methods for Brain Signal Analysis and Modeling.- Part I (Eds: Lubica Benuskova, Heike Sichtig) Information Modeling of Perception, Sensation and Cognition.- Part J (Eds: Shiro Usui, Raphael Ritz) Neuroinformatics Databases and Ontologies.- Part K (Eds: Lubica Benuskova, Francesco Masulli) Information Modeling for Brain Diseases.- Part L (Eds: Lubica Benuskova, Danilo Mandic) Nature Inspired Integrated Information Technologies Glossary Appendix A Methods of Information Science Appendix B The Human Genome Appendix C Brain Genes and Diseases Acknowledgements.- About the Authors.- Subject Index.