Neural Dynamics

How to Build a Brain: A Neural Architecture for Biological Cognition (repost)  eBooks & eLearning

Posted by libr at Jan. 30, 2016
How to Build a Brain: A Neural Architecture for Biological Cognition (repost)

How to Build a Brain: A Neural Architecture for Biological Cognition by Chris Eliasmith
English | 2013 | ISBN: 0199794545 | ISBN-13: 9780199794546 | 480 pages | PDF | 21,8 MB

How to Build a Brain: A Neural Architecture for Biological Cognition  eBooks & eLearning

Posted by roxul at May 2, 2020
How to Build a Brain: A Neural Architecture for Biological Cognition

Chris Eliasmith, "How to Build a Brain: A Neural Architecture for Biological Cognition "
English | ISBN: 0190262125 | 2015 | 480 pages | PDF | 22 MB
Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceeding

Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II By Anton Andrejko, Mária Bieliková (auth.), Véra Kůrková, Roman Neruda, Jan Koutník (eds.)
2008 | 986 Pages | ISBN: 3540875581 | PDF | 58 MB

How to Build a Brain: A Neural Architecture for Biological Cognition  eBooks & eLearning

Posted by interes at July 1, 2014
How to Build a Brain: A Neural Architecture for Biological Cognition

How to Build a Brain: A Neural Architecture for Biological Cognition by Chris Eliasmith
English | 2013 | ISBN: 0199794545 | ISBN-13: 9780199794546 | 480 pages | PDF | 21,8 MB

One goal of researchers in neuroscience, psychology, and artificial intelligence is to build theoretical models that are able to explain the flexibility and adaptiveness of biological systems. How to build a brain provides a detailed guided exploration of a new cognitive architecture that takes biological detail seriously, while addressing cognitive phenomena.

How to Build a Brain: A Neural Architecture for Biological Cognition (Repost)  eBooks & eLearning

Posted by step778 at Sept. 20, 2019
How to Build a Brain: A Neural Architecture for Biological Cognition (Repost)

Chris Eliasmith, "How to Build a Brain: A Neural Architecture for Biological Cognition"
2013 | pages: 475 | ISBN: 0199794545 | PDF | 21,8 mb
Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceeding

Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II By Anton Andrejko, Mária Bieliková (auth.), Véra Kůrková, Roman Neruda, Jan Koutník (eds.)
2008 | 986 Pages | ISBN: 3540875581 | PDF | 58 MB

Principles of Brain Dynamics: Global State Interactions  eBooks & eLearning

Posted by DZ123 at May 6, 2019
Principles of Brain Dynamics: Global State Interactions

Mikhail I. Rabinovich, Karl J. Friston, Pablo Varona, "Principles of Brain Dynamics: Global State Interactions"
English | 2012 | ISBN: 0262017644 | PDF | pages: 355 | 14.3 mb

Principles of Brain Dynamics: Global State Interactions  eBooks & eLearning

Posted by ksveta6 at Nov. 23, 2014
Principles of Brain Dynamics: Global State Interactions

Principles of Brain Dynamics: Global State Interactions (Computational Neuroscience) by Mikhail I. Rabinovich, Karl J. Friston, Pablo Varona
2012 | ISBN: 0262017644 | English | 360 pages | PDF | 14 MB
"Neural Network Control of Nonlinear Discrete-Time Systems" by Jagannathan Sarangapani

"Neural Network Control of Nonlinear Discrete-Time Systems" by Jagannathan Sarangapani
Control Engineering Series. A Series of Reference Books and Textbooks
Informa, CRCPs, TFG | 2006 | ISBN: 420015451 9781420015454 | 622 pages | PDF | 12 MB

This book presents powerful modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems. The book builds systematically from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback, system identification, model reference adaptive control, and novel optimal control using the Hamilton-Jacobi-Bellman formulation. The author concludes by developing a framework for implementing intelligent control in actual industrial systems using embedded hardware.
Photonic Neural Networks with Spatiotemporal Dynamics: Paradigms of Computing and Implementation

Photonic Neural Networks with Spatiotemporal Dynamics: Paradigms of Computing and Implementation by Hideyuki Suzuki, Jun Tanida, Masanori Hashimoto
English | October 17, 2023 | ISBN: 9819950716 | 286 pages | MOBI | 33 Mb