Posted by **interes** at Oct. 31, 2012

English | ISBN: 3211787747 | edition 2008 | PDF | 255 pages | 27.8 mb

The book deals with a new way to conceive bio-robotics, linking this subject to the theory of nonlinear dynamical systems and analog/logic circuits, like Cellular Nonlinear Networks and spiking networks. The topic is treated as a series of lessons, explaining the details of the different aspects, from Neurobiology to Electronics, to Robotics, including specific sensory and sensorymotor system modelling and implementation by using spiking networks. Moreover, it is explained how bio-robots can be used to model biological behaviours.

Posted by **DZ123** at Sept. 17, 2017

English | 2014 | ISBN: 366244139X | PDF | pages: 222 | 11.0 mb

Posted by **nebulae** at Sept. 17, 2017

English | ISBN: 0821898620 | 2017 | 322 pages | PDF | 10 MB

Posted by **hill0** at Sept. 14, 2017

English | 12 Nov. 2015 | ISBN: 3319181130 | 120 Pages | PDF | 3.54 MB

This book contains two review articles on mathematical physiology that deal with closely related topics but were written and can be read independently.

Posted by **arundhati** at Sept. 13, 2017

2015 | ISBN-10: 1470409313 | 258 pages | PDF | 2 MB

Posted by **arundhati** at Sept. 13, 2017

2012 | ISBN-10: 0821869221 | 264 pages | PDF | 2 MB

Posted by **hill0** at Sept. 12, 2017

English | 16 Nov. 2006 | ISBN: 3540355936 | 304 Pages | PDF | 12.2 MB

This book describes a family of algorithms for studying the global structure of systems. By a finite covering of the phase space we construct a directed graph with vertices corresponding to cells of the covering and edges corresponding to admissible transitions.

Posted by **ksveta6** at Aug. 30, 2017

2017 | ISBN: 3319536907 | English | 384 pages | EPUB | 5 MB

Posted by **step778** at Aug. 29, 2017

2003 | pages: 864 | ISBN: 0387001778 | PDF | 19,2 mb

Posted by **AvaxGenius** at Aug. 29, 2017

English | PDF | 2017 | 167 Pages | ISBN : 3319621297 | 4.12 MB

The book addresses the problem of calculation of d-dimensional integrals (conditional expectations) in filter problems. It develops new methods of deterministic numerical integration, which can be used to speed up and stabilize filter algorithms. With the help of these methods, better estimates and predictions of latent variables are made possible in the fields of economics, engineering and physics. The resulting procedures are tested within four detailed simulation studies.