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001442225 019__ $$a1265524713
001442225 020__ $$a9783030794927$$q(electronic bk.)
001442225 020__ $$a303079492X$$q(electronic bk.)
001442225 020__ $$z9783030794910
001442225 0247_ $$a10.1007/978-3-030-79492-7$$2doi
001442225 035__ $$aSP(OCoLC)1266906340
001442225 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dOCLCQ$$dOCLCO$$dOCLCQ
001442225 049__ $$aISEA
001442225 050_4 $$aTK7872.R4
001442225 08204 $$a621.3815/4$$223
001442225 1001_ $$aErokhin, Victor.
001442225 24510 $$aFundamentals of organic neuromorphic systems /$$cVictor Erokhin.
001442225 260__ $$aCham :$$bSpringer,$$c©2022.
001442225 300__ $$a1 online resource (270 pages)
001442225 336__ $$atext$$btxt$$2rdacontent
001442225 337__ $$acomputer$$bc$$2rdamedia
001442225 338__ $$aonline resource$$bcr$$2rdacarrier
001442225 500__ $$a6.8.4 Classic Conditioning of Parylene-Based Memristive Devices Systems.
001442225 504__ $$aIncludes bibliographical references and index.
001442225 5050_ $$aIntro -- Preface -- Acknowledgments -- Introduction -- Involvement of Same Elements for Memorizing and Processing of Information -- Variation of Electrical Properties According to the Hebbian (or Alternative) Rule (Electronic Synapse) -- Possibility of Working in Auto-Oscillation Mode -- Formation of Stable Chains of the Signal Transfer -- Materials Used for Electronic Compounds Must Allow Self-Organisation into 3D Systems Mimicking Intrinsic Brain Functions -- Contents -- About the Author -- Chapter 1: Memristive Devices and Circuits -- 1.1 Determination of Memristor -- 1.2 Mnemotrix
001442225 5058_ $$a1.3 First Mention About the Experimental Realization of Memristor -- 1.4 Inorganic Memristive Devices -- 1.5 Memristive Devices with the Organic Materials -- Chapter 2: Organic Memristive Device -- 2.1 Basic Materials -- 2.2 Structure and Working Principle of the Device -- 2.3 Electrical Characteristics of the Device -- 2.4 Device Working Mechanism -- 2.4.1 Spectroscopy -- 2.4.2 X-Ray Fluorescence -- 2.5 Electrical Characteristics in a Pulse Mode -- 2.6 Optimization of Properties and Stability of the Device -- 2.6.1 Stability of Organic Memristive Device Properties
001442225 5058_ $$a2.6.2 Optimization of the Device Architecture -- 2.6.3 Role of the Electrolyte -- 2.7 Organic Memristive Devices with Channels, Formed by Layer-by-Layer Technique -- Chapter 3: Oscillators Based on Organic Memristive Devices -- Chapter 4: Models -- 4.1 Phenomenological Model -- 4.2 Simplified Model of the Organic Memristive Device Function -- 4.3 Electrochemical Model -- 4.4 Optical Monitoring of the Resistive States -- Chapter 5: Logic Elements and Neuron Networks -- 5.1 Logic Elements with Memory -- 5.1.1 Element ``OR ́́with Memory -- 5.1.2 Element ``AND ́́with Memory
001442225 5058_ $$a5.1.3 Element ``NOT ́́with Memory -- 5.1.4 Comparison of Logic Elements with Memory, Based on Organic and Inorganic Memristive Devices -- 5.2 Perceptrons -- 5.2.1 Single Layer Perceptron -- 5.2.2 Double Layer Perceptron -- Chapter 6: Neuromorphic Systems -- 6.1 Learning of Circuits Based on a Single Memristive Device -- 6.1.1 DC Mode -- 6.1.2 Pulse Mode -- 6.2 Training of Networks with Several Memristive Elements -- 6.3 Training Algorithms -- 6.4 Electronic Analog of the Part of the Nervous System of Pond Snail (Lymnaea Stagnalis) -- 6.4.1 Biological Benchmark
001442225 5058_ $$a6.4.2 Experimentally Realized Circuit, Mimicking the Architecture and Properties of the Pond Snail Nervous System Part -- 6.5 Cross Talk of Memristive Devices During Signal Pathways Formation Process -- 6.6 Effect of Noise -- 6.7 Frequency Driven Short-Term Memory and Long-Term Potentiation -- 6.8 Spike-Timing-Dependent Plasticity (STDP) Learning in Memristive Systems -- 6.8.1 STDP in Circuits with Polyaniline-Based Memristive Devices -- 6.8.2 STDP in Circuits with Parylene-Based Memristive Devices -- 6.8.3 Classic Conditioning of Polyaniline-Based Memristive Devices Systems
001442225 506__ $$aAccess limited to authorized users.
001442225 520__ $$aThis book describes the essential requirements for the realization of neuromorphic systems, where memristive devices play a key role. A comprehensive description to organic memristive devices, including working principles and models of the function, preparation methods, properties and different applications is presented. A comparative analysis of organic and inorganic systems is given. The author discusses all aspects of current research in organic memristive devices: fabrication techniques, properties, synapse mimicking circuits, and neuromorphic systems (including perceptrons), etc. Describes requirements of electronic circuits and systems to be considered as neuromorphic systems; Provides a single-source reference to the state-of-the-art in memristive devices as key elements of neuromorphic systems; Provides a comparative analysis of advantages and drawbacks between organic and inorganic devices and systems; Includes a systematic overview of organic memristive devices, including fabrication methods, properties, synapse mimicking circuits, and neuromorphic systems; Discusses a variety of unconventional applications, based on bio-inspired circuits and neuromorphic systems.
001442225 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 7, 2021).
001442225 650_0 $$aMemristors.
001442225 650_6 $$aMemristances.
001442225 655_0 $$aElectronic books.
001442225 77608 $$iPrint version:$$aErokhin, Victor.$$tFundamentals of Organic Neuromorphic Systems.$$dCham : Springer International Publishing AG, ©2021$$z9783030794910
001442225 852__ $$bebk
001442225 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-79492-7$$zOnline Access$$91397441.1
001442225 909CO $$ooai:library.usi.edu:1442225$$pGLOBAL_SET
001442225 980__ $$aBIB
001442225 980__ $$aEBOOK
001442225 982__ $$aEbook
001442225 983__ $$aOnline
001442225 994__ $$a92$$bISE