Bio-Inspired Information Pathways
Bio-Inspired Information Pathways From Neuroscience to Neurotronics - Cham Springer Nature 2024 - 1 online resource (433 p.) - Springer Series on Bio- and Neurosystems .
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.
Creative Commons
English
978-3-031-36705-2 9783031367045 9783031367052
10.1007/978-3-031-36705-2 doi
Biomedical engineering
Electronics engineering
Materials science
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.
Creative Commons
English
978-3-031-36705-2 9783031367045 9783031367052
10.1007/978-3-031-36705-2 doi
Biomedical engineering
Electronics engineering
Materials science