Neurobiological

The Neurobiological Basis of Memory  eBooks & eLearning

Posted by Underaglassmoon at Sept. 19, 2015
The Neurobiological Basis of Memory

The Neurobiological Basis of Memory: A System, Attribute, and Process Analysis
Springer | Biomedical Science | October 08, 2015 | ISBN-10: 3319157582 | 419 pages | pdf | 13.9 mb

by Pamela A. Jackson (Editor), Andrea A. Chiba (Editor), Robert F. Berman (Editor), Michael E. Ragozzino (Editor)
Provides contemporary findings and theoretical perspectives on neurobiology of memory
Gives comprehensive information on how various brain systems contribute to memory
Elucidates the different brain systems that process mnemonic information
Emphasizes the importance of studying memory both in animals and humans

Acupuncture Therapy for Neurological Diseases: A Neurobiological View (Repost)  eBooks & eLearning

Posted by bookwyrm at Sept. 22, 2015
Acupuncture Therapy for Neurological Diseases: A Neurobiological View (Repost)

Acupuncture Therapy for Neurological Diseases: A Neurobiological View By Ying Xia, Xiaoding Cao, Gen-cheng Wu, Jieshi Cheng
2010 | 490 Pages | ISBN: 3642108555 | PDF | 6 MB
The Neurobiological Basis of Memory: A System, Attribute, and Process Analysis (Repost)

Pamela A. Jackson, "The Neurobiological Basis of Memory: A System, Attribute, and Process Analysis"
English | 2015 | ISBN-10: 3319157582 | 419 pages | pdf | 13.9 MB

Microfluidic and Compartmentalized Platforms for Neurobiological Research  eBooks & eLearning

Posted by step778 at July 4, 2020
Microfluidic and Compartmentalized Platforms for Neurobiological Research

Emilia Biffi, "Microfluidic and Compartmentalized Platforms for Neurobiological Research"
English | 2015 | pages: 263 | ISBN: 1493925091 | PDF | 9,4 mb
Anhedonia: A Comprehensive Handbook Volume I: Conceptual Issues And Neurobiological Advances (Repost)

Michael S. Ritsner, "Anhedonia: A Comprehensive Handbook Volume I: Conceptual Issues And Neurobiological Advances"
English | 2014 | ISBN: 9401785902 | PDF | pages: 361 | 3.9 mb

The Quest for Consciousness: A Neurobiological Approach  eBooks & eLearning

Posted by free4magazines at Oct. 14, 2016
The Quest for Consciousness: A Neurobiological Approach

The Quest for Consciousness: A Neurobiological Approach
Language: English | EPUB | ISBN-10: 1936221047 | 2004 | 432 pages | 1 MB

Consciousness is the major unsolved problem in biology. How do the elemental feelings and sensations making up conscious experience, the redness of red and painfulness of pain, arise from the concerted actions of nerve cells and their associated synaptic and molecular processes?
Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems (Repost)

Chris Eliasmith, C. H. Anderson, "Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems"
2002 | pages: 1 | ISBN: 0262050714 | PDF | 9,1 mb

Panic Disorder: Neurobiological and Treatment Aspects [Repost]  eBooks & eLearning

Posted by Free butterfly at Dec. 27, 2018
Panic Disorder: Neurobiological and Treatment Aspects [Repost]

Panic Disorder: Neurobiological and Treatment Aspects by Antonio Egidio Nardi
English | 7 Jun. 2016 | ISBN: 3319125370 | 323 Pages | PDF | 7.25 MB

Acupuncture Therapy for Neurological Diseases: A Neurobiological View  eBooks & eLearning

Posted by DZ123 at Aug. 30, 2019
Acupuncture Therapy for Neurological Diseases: A Neurobiological View

Ying Xia, Xiaoding Cao, Gen-cheng Wu, "Acupuncture Therapy for Neurological Diseases: A Neurobiological View"
English | 2010 | ISBN: 3642108555 | PDF | pages: 490 | 6.8 mb
Neural Engineering - Computation, Representation And Dynamics In Neurobiological Systems

Chris Eliasmith, C. H. Anderson
Neural Engineering - Computation, Representation And Dynamics In Neurobiological Systems
MIT Press | ISBN 0262050714 | 2002 | PDF | 376 pages | 4.9 MB

For years, researchers have used the theoretical tools of engineering to understand neural systems, but much of this work has been conducted in relative isolation. In Neural Engineering, Chris Eliasmith and Charles Anderson provide a synthesis of the disparate approaches current in computational neuroscience, incorporating ideas from neural coding, neural computation, physiology, communications theory, control theory, dynamics, and probability theory. This synthesis, they argue, enables novel theoretical and practical insights into the functioning of neural systems. Such insights are pertinent to experimental and computational neuroscientists and to engineers, physicists, and computer scientists interested in how their quantitative tools relate to the brain.