Bio-Inspired Information Pathways

1. Front Matter

   Pages i-xiii

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2. Matter and Mind Matter

   • Tom Birkoben, Hermann Kohlstedt

   Pages 1-42Open Access

3. Neuromorphic Circuits with Redox-Based Memristive Devices

   • Finn Zahari, Martin Ziegler, Pouya Doerwald, Christian Wenger, Hermann Kohlstedt

   Pages 43-85Open Access

4. Redox-Based Bi-Layer Metal Oxide Memristive Devices

   • Finn Zahari, Seongae Park, Mamathamba K. Mahadevaiah, Christian Wenger, Hermann Kohlstedt, Martin Ziegler

   Pages 87-114Open Access

5. MemFlash—Floating Gate Transistors as Memristors

   • Henning Winterfeld, Hermann Kohlstedt, Martin Ziegler

   Pages 115-128Open Access

6. Critical Discussion of Ex situ and In situ TEM Measurements on Memristive Devices

   • Ole Gronenberg, Georg Haberfehlner, Finn Zahari, Richard Marquardt, Christian Kübel, Gerald Kothleitner et al.

   Pages 129-157Open Access

7. Modeling and Simulation of Silver-Based Filamentary Memristive Devices

   • Sven Dirkmann, Jan Trieschmann, Thomas Mussenbrock

   Pages 159-176Open Access

8. Integration of Memristive Devices into a 130 nm CMOS Baseline Technology

   • Mamathamba Kalishettyhalli Mahadevaiah, Marco Lisker, Mirko Fraschke, Steffen Marschmeyer, Eduardo Perez, Emilio Perez-Bosch Quesada et al.

   Pages 177-190Open Access

9. A Wave Digital Approach Towards Bio-inspired Computing Using Memristive Networks

   • Dennis Michaelis, Karlheinz Ochs

   Pages 191-218Open Access

10. Memristive Switching: From Individual Nanoparticles Towards Complex Nanoparticle Networks

    • Niko Carstens, Maik-Ivo Terasa, Pia Holtz, Sören Kaps, Thomas Strunskus, Abdou Hassanien et al.

    Pages 219-239Open Access

11. Photocatalytic Deposition for Metal Line Formation

    • Salih Veziroglu, Moritz Paulsen, Jan Schardt, Blessing Adejube, Cenk Aktas, Alexander Vahl et al.

    Pages 241-263Open Access

12. Smart Sensor Arrays

    • Maik-Ivo Terasa, Leonard Siebert, Pia Holtz, Sören Kaps, Oleg Lupan, Jürgen Carstensen et al.

    Pages 265-285Open Access

13. Bio-inspired, Neuromorphic Acoustic Sensing

    • Claudia Lenk, Kalpan Ved, Steve Durstewitz, Tzvetan Ivanov, Martin Ziegler, Philipp Hövel

    Pages 287-315Open Access

14. A Bio-inspired Perceptual Decision-Making Circuit Based on the Hassenstein-Reichardt Direction Detector

    • Tom Birkoben, Mirko Hansen, Marina Ignatov, Martin Ziegler, Hermann Kohlstedt

    Pages 317-333Open Access

15. Pattern Recognition in the Box Jellyfish Rhopalial Nervous System Mimicked by an Ensemble of Pulsed Coupled Oscillators

    • Jan Bielecki, Tom Birkoben, Maximiliane Noll, Jan-Frederik Freiberg, Peer Wulff, Heinrich Terlau et al.

    Pages 335-355Open Access

16. Biologically Inspired and Energy-Efficient Neurons

    • Xiaoyan Cheng, Sebastian Simmich, Finn Zahari, Tom Birkoben, Maximiliane Noll, Tobias Wolfer et al.

    Pages 357-384Open Access

17. Synchronization Phenomena in Oscillator Networks: From Kuramoto and Chua to Chemical Oscillators

    • Petro Feketa, Alexander Schaum, Thomas Meurer

    Pages 385-406Open Access

18. Emulation of Learning Behavior in the Hippocampus: From Memristive Learning to Behavioral Tests

    • Christian Kaernbach, Thorsten Bartsch, Maximilian Brütt, Annika Hanert, Nick Diederich, Martin Ziegler

    Pages 407-433Open Access

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.

• 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

• Institute of Micro- and Nanotechnologies (IMN) MacroNano®, Technische Universität Ilmenau, Micro- and Nanoelectronic Systems, Ilmenau, Germany

  Martin Ziegler

• Chair of Applied Electrodynamics and Plasma Technology, Ruhr University Bochum, Bochum, Germany

  Thomas Mussenbrock

• Institute for Electrical Engineering and Information Engineering, Kiel University, Kiel, Germany

  Hermann Kohlstedt

Martin Ziegler is a full professor and the Chair of Micro- and Nanoelectronic Systems at the Faculty of Electrical Engineering and Information Technology of the Technische Universität Ilmenau, Germany. He works in the field of neuromorphic engineering. His main research interests concern the transfer of biological learning and memory into electronic systems. For this purpose, he studies and applies memristive materials and devices, micro-electromechanical systems, and neuromorphic circuits.

Thomas Mussenbrock is a full professor and the Chair of Applied Electrodynamics and Plasma Technology in the Faculty of Electrical Engineering and Information Technology at Ruhr University Bochum, Germany. His primary research interests cover modeling and simulation of low-temperature plasmas and plasma processes. Further topics include transport phenomena at the nanoscale and nanoionic devices.

Hermann Kohlstedt is a full professor of Nanoelectronics at Kiel University, Germany. His research concerns the development of novel electronics device and computing primitives based on biological fundamentals. His topics span from thin film analytics, device fabrication and their electrical characterization.