1.

Record Nr.

UNINA9910745584303321

Titolo

Bio-Inspired Information Pathways : From Neuroscience to Neurotronics / / edited by Martin Ziegler, Thomas Mussenbrock, Hermann Kohlstedt

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024

ISBN

3-031-36705-7

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (XIII, 433 p. 226 illus., 187 illus. in color.)

Collana

Springer Series on Bio- and Neurosystems, , 2520-8543 ; ; 16

Disciplina

610.28

Soggetti

Neurotechnology (Bioengineering)

Electronics

Nanoelectromechanical systems

Neuroengineering

Electronics and Microelectronics, Instrumentation

Nanoscale Devices

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.