Ziegler M., Mussenbrock Th., Kohlstedt H. (eds.) Bio-Inspired Information Pathways: From Neuroscience to Neurotronics

Springer, 2024. — 439 p. — (Springer Series on Bio- and Neurosystems 16). — ISBN 978-3-031-36705-2This 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.Matter and Mind Matter
Neuromorphic Circuits with Redox-Based Memristive Devices
Redox-Based Bi-Layer Metal Oxide Memristive Devices
MemFlash—Floating Gate Transistors as Memristors
Critical Discussion of Ex situ and In situ TEM Measurements on Memristive Devices
Modeling and Simulation of Silver-Based Filamentary Memristive Devices
Integration of Memristive Devices into a 130 nm CMOS Baseline Technology
A Wave Digital Approach Towards Bio-inspired Computing Using Memristive Networks
Memristive Switching:​ From Individual Nanoparticles Towards Complex Nanoparticle Networks
Photocatalytic Deposition for Metal Line Formation
Smart Sensor Arrays
Bio-inspired, Neuromorphic Acoustic Sensing
A Bio-inspired Perceptual Decision-Making Circuit Based on the Hassenstein-Reichardt Direction Detector
Pattern Recognition in the Box Jellyfish Rhopalial Nervous System Mimicked by an Ensemble of Pulsed Coupled Oscillators
Biologically Inspired and Energy-Efficient Neurons
Synchronization Phenomena in Oscillator Networks:​ From Kuramoto and Chua to Chemical Oscillators
Emulation of Learning Behavior in the Hippocampus:​ From Memristive Learning to Behavioral Tests