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Bio-Inspired Information Pathways
- Publication Year :
- 2024
- Publisher :
- Cham: Springer Nature; Springer International Publishing, 2024.
-
Abstract
- 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.
- Subjects :
- 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
bic Book Industry Communication::M Medicine::MQ Nursing & ancillary services::MQW Biomedical engineering
bic Book Industry Communication::T Technology, engineering, agriculture::TJ Electronics & communications engineering::TJF Electronics engineering
bic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials::TGM Materials science
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-031-36705-2
978-3-031-36704-5
3-031-36705-7
3-031-36704-9 - ISBNs :
- 9783031367052, 9783031367045, 3031367057, and 3031367049
- Database :
- OAPEN Library
- Notes :
- ONIX_20231013_9783031367052_22, , https://link.springer.com/978-3-031-36705-2
- Publication Type :
- eBook
- Accession number :
- edsoap.20.500.12657.76734
- Document Type :
- book
- Full Text :
- https://doi.org/10.1007/978-3-031-36705-2