Bio-Inspired Information Pathways (Paperback)

Martin Ziegler

ISBN 10: 3031367073 / ISBN 13: 9783031367076

Published by Springer International Publishing AG, Cham, 2023

About this Item

Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9783031367076

Bibliographic Details

• Title: Bio-Inspired Information Pathways (Paperback)
• Publisher: Springer International Publishing AG, Cham
• Publication Date: 2023
• Language: English
• ISBN 10: 3031367073
• ISBN 13: 9783031367076
• Binding: Paperback
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

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.

About the Author

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.