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Closed Loop Neuroscience

Ahmed El Hady
4.9/5 (14835 ratings)
Description:Closed Loop Neuroscience addresses the technical aspects of closed loop neurophysiology, presenting the implementation of these approaches spanning several domains of neuroscience, from cellular and network neurophysiology, through sensory and motor systems, and then clinical therapeutic devices.Although closed-loop approaches have long been a part of the neuroscientific toolbox, these techniques are only now gaining popularity in research and clinical applications. As there is not yet a comprehensive methods book addressing the topic as a whole, this volume fills that gap, presenting state-of-the-art approaches and the technical advancements that enable their application to different scientific problems in neuroscience.Presents the first volume to offer researchers a comprehensive overview of the technical realities of employing closed loop techniques in their workOffers application to in-vitro, in-vivo, and hybrid systemsContains an emphasis on the actual techniques used rather than on specific results obtainedIncludes exhaustive protocols and descriptions of software and hardware, making it easy for readers to implement the proposed methodologiesEncompasses the clinical/neuroprosthetic aspect and how these systems can also be used to contribute to our understanding of basic neurophysiologyEdited work with chapters authored by leaders in the field from around the globe - the broadest, most expert coverage availableWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Closed Loop Neuroscience. To get started finding Closed Loop Neuroscience, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0128026413

Closed Loop Neuroscience

Ahmed El Hady
4.4/5 (1290744 ratings)
Description: Closed Loop Neuroscience addresses the technical aspects of closed loop neurophysiology, presenting the implementation of these approaches spanning several domains of neuroscience, from cellular and network neurophysiology, through sensory and motor systems, and then clinical therapeutic devices.Although closed-loop approaches have long been a part of the neuroscientific toolbox, these techniques are only now gaining popularity in research and clinical applications. As there is not yet a comprehensive methods book addressing the topic as a whole, this volume fills that gap, presenting state-of-the-art approaches and the technical advancements that enable their application to different scientific problems in neuroscience.Presents the first volume to offer researchers a comprehensive overview of the technical realities of employing closed loop techniques in their workOffers application to in-vitro, in-vivo, and hybrid systemsContains an emphasis on the actual techniques used rather than on specific results obtainedIncludes exhaustive protocols and descriptions of software and hardware, making it easy for readers to implement the proposed methodologiesEncompasses the clinical/neuroprosthetic aspect and how these systems can also be used to contribute to our understanding of basic neurophysiologyEdited work with chapters authored by leaders in the field from around the globe - the broadest, most expert coverage availableWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Closed Loop Neuroscience. To get started finding Closed Loop Neuroscience, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0128026413
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