Bio-Inspired Information Pathways From Neuroscience to Neurotronics

• Other Authors: Ziegler, Martin (Editor), Mussenbrock, Thomas (Editor), Kohlstedt, Hermann (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Cham Springer Nature 2024
• Series: Springer Series on Bio- and Neurosystems
• Subjects: Biomedical engineering; Electronics engineering; Materials science; Neuromorphic Computing; Self-assembled Networks; Oscillator Networks; Simulation of Memristive Devices; Hippocampal Learning Models; Artificial Synapse; Neuronal Synchrony; Memristive and Memsensor Devices; Bio-inspired Electronics; Bio-inspired Decision Making Systems; Smart Sensor Arrays; Neuromorphic Sensing; CRC 1461
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.