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Fundamentals of organic neuromorphic...

Erokhin, Victor.

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Fundamentals of organic neuromorphic systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fundamentals of organic neuromorphic systems/ by Victor Erokhin.
作者:	Erokhin, Victor.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xix, 259 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Memristors. -
電子資源:	https://doi.org/10.1007/978-3-030-79492-7
ISBN:	9783030794927

Fundamentals of organic neuromorphic systems
Erokhin, Victor.

Fundamentals of organic neuromorphic systems[electronic resource] /by Victor Erokhin. - Cham :Springer International Publishing :2022. - xix, 259 p. :ill., digital ;24 cm.

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.

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 fabrication methods, properties, synapse mimicking circuits, and neuromorphic systems; Discusses a variety of unconventional applications, based on bio-inspired circuits and neuromorphic systems.

ISBN: 9783030794927

Standard No.: 10.1007/978-3-030-79492-7doiSubjects--Topical Terms:

2016311
Memristors.

LC Class. No.: TK7872.R4 / E76 2022

Dewey Class. No.: 621.38154

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505 0 $a 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.
520 $a 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 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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