Networks Neuronal

Non-Neuronal Mechanisms of Brain Damage and Repair After Stroke  eBooks & eLearning

Posted by AlenMiler at Aug. 30, 2016
Non-Neuronal Mechanisms of Brain Damage and Repair After Stroke

Non-Neuronal Mechanisms of Brain Damage and Repair After Stroke (Springer Series in Translational Stroke Research) by Jun Chen
English | 29 Aug. 2016 | ISBN: 3319323350 | 424 Pages | PDF (True) | 13.27 MB

This book provides a comprehensive overview of the latest research in the role of non-neuronal cells - astrocytes, oligodendrocytes, endothelial cells, pericytes, microglia, and other immune cells in ischemic brain injury and long-term recovery.

Non-Neuronal Mechanisms of Brain Damage and Repair After Stroke  eBooks & eLearning

Posted by AlenMiler at Aug. 16, 2016
Non-Neuronal Mechanisms of Brain Damage and Repair After Stroke

Non-Neuronal Mechanisms of Brain Damage and Repair After Stroke (Springer Series in Translational Stroke Research) by Jun Chen
English | 29 Aug. 2016 | ISBN: 3319323350 | 424 Pages | EPUB (True) | 4.03 MB

This book provides a comprehensive overview of the latest research in the role of non-neuronal cells - astrocytes, oligodendrocytes, endothelial cells, pericytes, microglia, and other immune cells in ischemic brain injury and long-term recovery.

Static and Dynamic Neural Networks [Repost]  eBooks & eLearning

Posted by tanas.olesya at Feb. 19, 2016
Static and Dynamic Neural Networks [Repost]

Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory by Madan Gupta
English | 25 Apr. 2003 | ISBN: 0471219487 | 752 Pages | PDF | 21 MB

Coherent Behavior in Neuronal Networks  eBooks & eLearning

Posted by tanas.olesya at Jan. 27, 2016
Coherent Behavior in Neuronal Networks

Coherent Behavior in Neuronal Networks (Series in Computational Neuroscience) by Jonathan Rubin
English | 14 Sept. 2009 | ISBN: 1441903887 | 311 Pages | PDF | 10 MB

Recent experimental research advances have led to increasingly detailed descriptions of how networks of interacting neurons process information.
Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition (Repost)

Wulfram Gerstner, Werner M. Kistler, "Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition"
English | 2014 | ISBN-10: 1107060834, 1107635195 | 578 pages | PDF | 10 MB

Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition  eBooks & eLearning

Posted by arundhati at Nov. 23, 2014
Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition

Wulfram Gerstner, Werner M. Kistler, "Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition"
2014 | ISBN-10: 1107060834, 1107635195 | 578 pages | PDF | 10 MB

Magnetoencephalography: From Signals to Dynamic Cortical Networks  eBooks & eLearning

Posted by arundhati at Nov. 13, 2014
Magnetoencephalography: From Signals to Dynamic Cortical Networks

Selma Supek, Cheryl Aine, "Magnetoencephalography: From Signals to Dynamic Cortical Networks"
2014 | ISBN-10: 3642330444 | 1036 pages | PDF | 24 MB

Analysis of Complex Networks: From Biology to Linguistics (repost)  eBooks & eLearning

Posted by fdts at Oct. 25, 2014
Analysis of Complex Networks: From Biology to Linguistics (repost)

Analysis of Complex Networks: From Biology to Linguistics
by Matthias Dehmer and Frank Emmert-Streib
English | 2009 | ISBN: 3527323457 | 480 pages | PDF | 4.2 MB
Nanotechnology and Neuroscience: Nano-electronic, Photonic and Mechanical Neuronal Interfacing [Repost]

Massimo De Vittorio, ‎Luigi Martiradonna, ‎John Assad - Nanotechnology and Neuroscience: Nano-electronic, Photonic and Mechanical Neuronal Interfacing
Published: 2014-03-19 | ISBN: 1489980377 | PDF | 318 pages | 11 MB
Nanotechnology and Neuroscience: Nano-electronic, Photonic and Mechanical Neuronal Interfacing

Nanotechnology and Neuroscience: Nano-electronic, Photonic and Mechanical Neuronal Interfacing by Massimo De Vittorio, Luigi Martiradonna and John Assad
English | 2014 | ISBN: 1489980377 | 318 pages | PDF | 11 MB

This book describes the use of modern micro- and nanofabrication technologies to develop improved tools for stimulating and recording electrical activity in neuronal networks. It provides an overview of the different ways in which the “nano-world” can be beneficial for neuroscientists, including improvement of mechanical adhesion of cells on electrodes, tight-sealed extracellular recordings or intracellular approaches with strongly reduced invasiveness, and tools for localized electrical or optical stimulation in optogenetics experiments.