Free Delivery Over $100
|
|
|||
|
||||
OverviewThis book describes the essential requirements for the realization of neuromorphic systems, where memristive devices play a key role. A comprehensive description to organic memristive devices, including working principles and models of the function, preparation methods, properties and different applications is presented. A comparative analysis of organic and inorganic systems is given. The author discusses all aspects of current research in organic memristive devices: fabrication techniques, properties, synapse mimicking circuits, and neuromorphic systems (including perceptrons), etc. Describes requirements of electronic circuits and systems to be considered as neuromorphic systems; Provides a single-source reference to the state-of-the-art in memristive devices as key elements of neuromorphic systems; Provides a comparative analysis of advantages and drawbacks between organic and inorganic devices and systems; Includes a systematic overviewof organic memristive devices, including fabrication methods, properties, synapse mimicking circuits, and neuromorphic systems; Discusses a variety of unconventional applications, based on bio-inspired circuits and neuromorphic systems. Full Product DetailsAuthor: Victor ErokhinPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2022 Weight: 0.588kg ISBN: 9783030794910ISBN 10: 3030794911 Pages: 259 Publication Date: 27 August 2021 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction Chapter 1: Memristive devices and circuits Determination of memristor Mnemotrix First mention about the experimental realization of memristor Inorganic memristive devices Memristive devices with organic materials Chapter 2: Organic memristive device Basic materials Structure and working principle of the device Electrical characteristics of the device Device working mechanism Spectroscopy X-ray fluorescence Electrical characteristics in a pulse mode Optimization of properties and stability of the device Stability of organic memristive device properties Optimization of the device architecture Role of the electrolyte Organic memristive devices with channels, formed by Layer-by-Layer technique Chapter 3: Oscillators based on organic memristive devices Chapter 4: Models Phenomenological model Simplified model of the organic memristive device function Electrochemical model Optical monitoring of the resistive states Chapter 5: Logic elements and neuron networks Logic elements with memory Element “OR” with memory Element “AND” with memory Element “NOT” with memory Comparison of logic elements with memory, based on organic and inorganic memristive devices Perceptrons Single layer perceptron Double layer perceptron Chapter 6: Neuromorphic systems Learning of circuits, based on a single memristive device DC mode Pulse mode Training of networks with several memristive elements Training algorithms Electronic analog of the part of the nervous system of pond snail Lymnaea stanìgnalis Biological benchmark Experimentally realized circuit, mimicking the architecture and properties of the pond snail nervous system part Cross-talk of memristive devices during pathways formation process Effect of noise Frequency driven short-term memory and long-term potentiation Spike Timing Dependent Plasticity (STDP) learning in memristive systems STDP in circuits with polyaniline-based memristive devices STDP in circuits with parylene-based memristive devices Classic conditioning of polyaniline-based memristive devices systems Classic conditioning of parylene-based memristive devices systems Coupling with living beings Chapter 7: 3D systems with stochastic architecture Free-standing fibrillar systems Stochastic networks on frames with developed structure 3D stochastic networks, based on phase separation of materials Stabilized gold nanoparticles Block copolymer Fabrication of 3D stochastic network Training of stochastic 3D network, based on phase separation of materials Evidence of 3D nature of the realized stochastic system Modeling of adaptive electrical characteristics of stochastic 3D network Single memristive device Structure of the network Network dynamics Modeling of experimental results, obtained on 3D stochastic networks Conclusions ReferencesReviewsAuthor InformationVictor Erokhin received his MS degree in physics and engineering in 1983 in Moscow Institute of Physics and Technology; PhD in Physical and Mathematical Sciences in 1990 in the Institute of Crystallography, Russian Academy of Sciences. After MS degree (1983-1987) he worked as an engineer in the applied research institute “Delta” (Moscow, Russia). In the period 1990-1992 (after PhD thesis) he was a researcher in the Institute of Crystallography, Russian Academy of Sciences. In 1992 he was invited to work in Genoa University (Italy) and during the period 1992-2003 he worked in different industry-oriented companies, nucleated around Genoa University (initially, senior scientist, later head of research units). After the Genoa period, during 2003-2011 he was leading scientist in INFM (National Institute of Physics of Matter) and visiting professor of Parma University (Italy). Since 2011 he works in the Institute of Materials for Electronics and Magnetism, Italian National Research Council (Parma, Italy). His current position is Director of Research and Head of the Research unit “Smart and Neuromorphic Biointerfacing Systems” in the same institute. Victor Erokhin is an author of more than 200 research papers in international referred scientific journals, 19 book chapters and 13 patents. He is an editor-in-chief of BioNanoScience (Springer Nature); member of editorial board: International Journal of Parallel, Emergent and Distributed Systems; Electronics. Victor Erokhin was principal investigator in numerous national and international research projects, chairman and co-chairman of International Symposia, and member of numerous national and international committees, including evaluation panels of ESRF (European Synchrotron Radiation Facilities, Grenoble, France) and Nano-Tera Projects (Switzerland). Tab Content 6Author Website:Countries AvailableAll regions |
||||
