Bio-Inspired Information Pathways
From Neuroscience to Neurotronics
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Beschreibung
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.
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.
This book is open access, which means that you have free and unlimited access Presents novel findings relating to neural pathways in various biological systems Discusses the latest advances in the fabrication of hybrid bioelectrical interfaces Covers research at the intersection of biology, information processing and engineering
Autor*in
Martin Ziegler
Themen in »Bio-Inspired Information Pathways«
Open Access 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