Bio-Inspired Information Pathways From Neuroscience to Neurotronics
Material type:
TextLanguage: English Series: Publication details: Cham Springer Nature 2024Description: 1 online resource (433 p.)Content type: - text
- computer
- online resource
- 978-3-031-36705-2
- 9783031367045
- 9783031367052
- Biomedical engineering
- Electronics engineering
- Materials science
- 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
- Oscillator Networks
- Self-assembled Networks
- Simulation of Memristive Devices
- Smart Sensor Arrays
Open Access Unrestricted online access star
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 by/4.0/ cc
http://creativecommons.org/licenses/by/4.0/
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