Posted by **AvaxGenius** at Feb. 18, 2017

English | PDF | 2017 | 431 Pages | ISBN : 981102524X | 13.14 MB

This volume comprises the proceedings of the International Conference on Computational Intelligence 2015 (ICCI15). This book aims to bring together work from leading academicians, scientists, researchers and research scholars from across the globe on all aspects of computational intelligence.

Posted by **Underaglassmoon** at May 17, 2016

Springer | Mathematics | June 13, 2016 | ISBN-10: 3319322842 | 127 pages | pdf | 13.26 mb

Authors: Kolossa, Antonio

Presents observer models which are useful to compute probability distributions over observable events and hidden states

Helps the reader to better understand the neural coding by means of Bayesian rules

Posted by **ChrisRedfield** at Nov. 13, 2014

Published: 2012-07-21 | ISBN: 9400738579, 9401783802 | PDF | 572 pages | 11 MB

Posted by **tukotikko** at Jan. 17, 2014

2012 | 578 Pages | ISBN: 9400738579 | PDF | 12 MB

Posted by **zolao** at Aug. 12, 2013

2012 | 578 Pages | ISBN: 9400738579 | PDF | 12 MB

Computational neurosciences and systems biology are among the main domains of life science research where mathematical modeling made a difference. This book introduces the many different types of computational studies one can develop to study neuronal systems.

Posted by **bookwyrm** at July 20, 2013

2012 | 578 Pages | ISBN: 9400738579 | PDF | 12 MB

Posted by **Jeembo** at Oct. 17, 2017

English | 2017| ISBN: 1107184711 | 404 Pages | PDF | 10.9 MB

A comprehensive account of both basic and advanced material in phylogeny estimation, focusing on computational and statistical issues.

Posted by **step778** at Oct. 17, 2017

2004 | pages: 344 | ISBN: 0470849088 | DJVU | 1,0 mb

Posted by **Jeembo** at Oct. 16, 2017

English | 2017 | ISBN: 3319608150 | 330 Pages | PDF | 41.8 MB

Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data.

Posted by **AvaxGenius** at Oct. 16, 2017

English | PDF | 2017 | 245 Pages | ISBN : 331963111X | 9.24 MB

This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each technique is theoretically introduced and applied to a set of modeling cases. Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in space, or that are based on hybrid simulation strategies.