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Record Nr. |
UNINA9910523890903321 |
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Autore |
Erokhin Victor |
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Titolo |
Fundamentals of Organic Neuromorphic Systems / / by Victor Erokhin |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (270 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Electronic circuits |
Biomedical engineering |
Electronic Circuits and Systems |
Biomedical Engineering and Bioengineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1 Memristive devices and circuits -- Chapter 2: Organic memristive device -- Chapter 3: Oscillators based on organic memristive devices -- Chapter 4: Models -- Chapter 5: Logic elements and neuron networks -- Chapter 6: Neuromorphic systems -- Chapter 7: 3D systems with stochastic architecture. |
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Sommario/riassunto |
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This 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 |
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fabrication methods, properties, synapse mimicking circuits, and neuromorphic systems; Discusses a variety of unconventional applications, based on bio-inspired circuits and neuromorphic systems. |
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