Bio-Inspired Information Pathways: From Neuroscience to Neurotronics (Springer Series on Bio- and Neurosystems, 16, Band 16) - Hardcover

 
9783031367045: Bio-Inspired Information Pathways: From Neuroscience to Neurotronics (Springer Series on Bio- and Neurosystems, 16, Band 16)
Hardcover
ISBN 10: 3031367049 ISBN 13: 9783031367045
Verlag: Springer, 2023

Inhaltsangabe

This open access book offers a timely and comprehensive review of the field of neurotronics. Gathering cutting-edge contributions from neuroscientists, biologists, psychologists, as well as physicists, microelectronics engineers and information scientists, it gives extensive information on fundamental information pathways in selected nervous systems. It also highlights their relevance as building blocks for novel computing architectures, such as bio-inspired electronic devices, neuromorphic architectures, memristive devices, adaptive sensors and emergent, pulsed-coupled oscillatory networks.  All in all, this book offers a unique bridge between fundamental research in neuroscience, neural information processing, nonlinear dynamics, and self-organization, and advanced practical applications concerning the fabrication of hardware-oriented computing.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Martin Ziegler is a full professor and the Chair of Micro- and Nanoelectronic Systems at the Faculty of Electrical Engineering and Information Technology of the Technische Universität Ilmenau, Germany. He works in the field of neuromorphic engineering. His main research interests concern the transfer of biological learning and memory into electronic systems. For this purpose, he studies and applies memristive materials and devices, micro-electromechanical systems, and neuromorphic circuits.

Thomas Mussenbrock is a full professor and the Chair of Applied Electrodynamics and Plasma Technology in the Faculty of Electrical Engineering and Information Technology at Ruhr University Bochum, Germany. His primary research interests cover modeling and simulation of low-temperature plasmas and plasma processes. Further topics include transport phenomena at the nanoscale and nanoionic devices.

Hermann Kohlstedt isa full professor of Nanoelectronics at Kiel University, Germany. His research concerns the development of novel electronics device and computing primitives based on biological fundamentals. His topics span from thin film analytics, device fabrication and their electrical characterization. 

Von der hinteren Coverseite

This open access book offers a timely and comprehensive review of the field of neurotronics. Gathering cutting-edge contributions from neuroscientists, biologists, psychologists, as well as physicists, microelectronics engineers and information scientists, it gives extensive information on fundamental information pathways in selected nervous systems. It also highlights their relevance as building blocks for novel computing architectures, such as bio-inspired electronic devices, neuromorphic architectures, memristive devices, adaptive sensors and emergent, pulsed-coupled oscillatory networks.  All in all, this book offers a unique bridge between fundamental research in neuroscience, neural information processing, nonlinear dynamics, and self-organization, and advanced practical applications concerning the fabrication of hardware-oriented computing.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
3031367049
ISBN 13 
9783031367045
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
446
Herausgeber
Ziegler Martin, Mussenbrock Thomas, Kohlstedt Hermann
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783031367076: Bio-Inspired Information Pathways: From Neuroscience to Neurotronics (Springer Series on Bio- and Neurosystems, 16, Band 16)

Vorgestellte Ausgabe

ISBN 10:  3031367073 ISBN 13:  9783031367076
Verlag: Springer, 2023
Softcover