Introduction To Computational Neurobiology And Clustering

This volume provides students with the necessary tools to better understand the fields of neurobiological modeling, cluster analysis of proteins and genes. The theory is explained starting from the beginning and in the most elementary terms, there are many exercises solved and not useful for the understanding of the theory. The exercises are specially adapted for training and many useful Matlab programs are included, easily understood and generalizable to more complex situations. This self-contained text is particularly suitable for an undergraduate course of biology and biotechnology.New results are also provided for researchers such as the description and applications of the Kohonen neural networks to gene classification and protein classification with back propagation neutral networks.

Introduction To Computational Neurobiology And Clustering features in the following genres: Neurology and clinical neurophysiology

Introduction To Computational Neurobiology And Clustering is available in Hardback

Introduction To Computational Neurobiology And Clustering was written by Brunello Univ Of Rome La Sapienza, Italy Tirozzi, Daniela Univ Of Rome La Sapienza, Italy Bianchi, Enrico Sap Ferraro and published by World Scientific Publishing Co Pte Ltd

Introduction To Computational Neurobiology And Clustering has 248 pages

Yes it is part of Series on Advances in Mathematics for Applied Sciences series

£73.80