Bio-Inspired Information Pathways
Springer International Publishing (Verlag)
978-3-031-36707-6 (ISBN)
lt;p>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 is a 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.
Matter & Mind Matter.- Neuromorphic circuits with redox-based memristive devices.- Redox-based bi-layer oxide metal memristive devices.- MemFlash - Floating Gate Transistors as Memristors.- Critical discussion of ex situ and in situ TEM measurements of memristive devices.- Modeling and Simulation of of Silver-based Filamentary Memristive Devices.- Bio-inspired, neuromorphic acoustic sensing.
Erscheinungsdatum | 21.09.2023 |
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Reihe/Serie | Springer Series on Bio- and Neurosystems |
Zusatzinfo | XIII, 433 p. 226 illus., 187 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 682 g |
Themenwelt | Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Artificial Synapse • Bio-inspired Decision Making Systems • Bio-inspired Electronics • CRC 1461 • Hippocampal Learning Models • Memristive and Memsensor Devices • neuromorphic computing • Neuromorphic Sensing • Neuronal Synchrony • open access • Oscillator Networks • Self-assembled Networks • Simulation of Memristive Devices • Smart Sensor Arrays |
ISBN-10 | 3-031-36707-3 / 3031367073 |
ISBN-13 | 978-3-031-36707-6 / 9783031367076 |
Zustand | Neuware |
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