Computational Neurosciences

Neurosciences - From Molecule to Behavior: A UniversityTextbook (Repost)  eBooks & eLearning

Posted by happy4all at Jan. 15, 2016
Neurosciences - From Molecule to Behavior: A UniversityTextbook (Repost)

Neurosciences - From Molecule to Behavior: A UniversityTextbook By C. Giovanni Galizia, Pierre-Marie Lledo
2013 | 735 Pages | ISBN: 3642107680 | PDF | 59 MB

Neurosciences - From Molecule to Behavior: A University Textbook (repost)  eBooks & eLearning

Posted by arundhati at Nov. 3, 2015
Neurosciences - From Molecule to Behavior: A University Textbook (repost)

C. Giovanni Galizia, Pierre-Marie Lledo, "Neurosciences - From Molecule to Behavior: A University Textbook"
2013 | ISBN: 3642107680 | 735 Pages | PDF | 59 MB

Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics  eBooks & eLearning

Posted by arundhati at Sept. 2, 2015
Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics

G. N. Reeke, R.R. Poznanski, "Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics"
2005 | 2nd edition | ISBN-10: 0415328683 | 740 pages | PDF | 16 MB
Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics (Repost)

Ivan Osorio, Hitten P. Zaveri, "Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics"
English | 2011 | ISBN-10: 1439838852 | 546 pages | PDF | 19 MB
Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics (repost)

Ivan Osorio, Hitten P. Zaveri, "Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics"
English | 2011 | ISBN-10: 1439838852 | 546 pages | PDF | 19 MB

Phase Response Curves in Neuroscience: Theory, Experiment, and Analysis  eBooks & eLearning

Posted by ChrisRedfield at Dec. 29, 2014
Phase Response Curves in Neuroscience: Theory, Experiment, and Analysis

Nathan W. Schultheiss, Astrid A. Prinz, Robert J. Butera - Phase Response Curves in Neuroscience: Theory, Experiment, and Analysis
Published: 2011-12-22 | ISBN: 1461407389, 1493901540 | PDF | 518 pages | 13 MB

The Visual Neurosciences, 2 Volume Set, (Bradford Books) by Leo M. Chalupa  eBooks & eLearning

Posted by tanas.olesya at Oct. 23, 2014
The Visual Neurosciences, 2 Volume Set, (Bradford Books) by Leo M. Chalupa

The Visual Neurosciences, 2 Volume Set, (Bradford Books) by Leo M. Chalupa
A Bradford Book; 2-vol. set edition | November 21, 2003 | English | ISBN: 0262033089 | 1813 pages | PDF | 48 MB

Visual science is the model system for neuroscience, its findings relevant to all other areas. This massive collection of papers by leading researchers in the field will become an essential reference for researchers and students in visual neuroscience, and will be of importance to researchers and professionals in other disciplines, including molecular and cellular biology, cognitive science, ophthalmology, psychology, computer science, optometry, and education.

Neurosciences - From Molecule to Behavior: a university textbook [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Oct. 28, 2013
Neurosciences - From Molecule to Behavior: a university textbook [Repost]

Giovanni Galizia, Pierre-Marie Lledo - Neurosciences - From Molecule to Behavior: a university textbook
Published: 2013-07-29 | ISBN: 3642107680 | PDF | 800 pages | 59 MB

Neurosciences - From Molecule to Behavior: A UniversityTextbook  eBooks & eLearning

Posted by enmoys at Sept. 15, 2013
Neurosciences - From Molecule to Behavior: A UniversityTextbook

Neurosciences - From Molecule to Behavior: A UniversityTextbook By C. Giovanni Galizia, Pierre-Marie Lledo
2013 | 735 Pages | ISBN: 3642107680 | PDF | 59 MB
Peter beim Graben, Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks (Repost)

Peter beim Graben, Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks
ISBN: 354073158X | edition 2007 | PDF | 369 pages | 22 mb

The present volume is an introduction, largely from the physicists' perspective, to the subject matter with in-depth contributions by system neuroscientists. A conceptual model for complex networks of neurons is introduced that incorporates many important features of the real brain, such as various types of neurons, various brain areas, inhibitory and excitatory coupling and the plasticity of the network. The computational implementation on supercomputers, which is introduced and discussed in detail in this book, will enable the readers to modify and adapt the algortihm for their own research.