The book explores the essential requirements for neuromorphic systems, focusing on organic memristive devices, their fabrication techniques, properties, synapse mimicking circuits, and various applications. It provides a comprehensive comparison of organic and inorganic systems and discusses the latest research in the field.

Format: Paperback / softback
Length: 259 pages
Publication date: 28 August 2022
Publisher: Springer Nature Switzerland AG

Neuromorphic Systems and Memristive Devices

This book provides a comprehensive overview of neuromorphic systems and memristive devices, which are essential for the realization of artificial intelligence and machine learning. It covers the working principles and models of memristive devices, preparation methods, properties, and different applications. A comparative analysis of organic and inorganic systems is also given. The author discusses all aspects of current research in organic memristive devices, including fabrication techniques, properties, synapse mimicking circuits, and neuromorphic systems (including perceptrons).

Requirements of Electronic Circuits and Systems for Neuromorphic Systems

Neuromorphic systems are electronic circuits and systems that mimic the behavior of biological neural networks. They are designed to process information in a way that is similar to the way that biological neurons process information. To achieve this, neuromorphic systems require a number of essential requirements. These requirements include the ability to store and retrieve information, the ability to perform logical operations, the ability to communicate with other systems, and the ability to adapt to changing environments. Memristive devices play a key role in neuromorphic systems by providing a non-volatile memory that can be used to store and retrieve information. They also provide a means of performing logical operations and communicating with other systems.

Memristive Devices

Memristive devices are electronic devices that have the ability to change their resistance in response to an applied voltage. They are based on the principle of memristance, which was first proposed by Leon Chua in 1971. Memristive devices can be used to create a wide range of electronic circuits and systems, including neuromorphic systems. Memristive devices have a number of advantages over traditional electronic devices. They are non-volatile, which means that they can retain their state even when the power is turned off. They are also highly scalable, which means that they can be used to create large-scale neuromorphic systems. Memristive devices also have a low power consumption, which makes them ideal for use in portable devices and embedded systems.

Organic Memristive Devices

Organic memristive devices are memristive devices that are made from organic materials. They have a number of advantages over traditional inorganic memristive devices. Organic memristive devices are more flexible than inorganic memristive devices, which makes them easier to integrate into electronic circuits and systems. They are also more environmentally friendly than inorganic memristive devices, which makes them more attractive for use in green technologies. Organic memristive devices also have a higher resistance-to-voltage ratio than inorganic memristive devices, which makes them more suitable for use in high-voltage applications.

Inorganic Memristive Devices

Inorganic memristive devices are memristive devices that are made from inorganic materials. They have a number of advantages over traditional organic memristive devices. Inorganic memristive devices are more stable than organic memristive devices, which makes them more suitable for use in long-term applications. They are also more efficient than organic memristive devices, which makes them more suitable for use in high-performance applications. Inorganic memristive devices also have a lower power consumption than organic memristive devices, which makes them more suitable for use in portable devices and embedded systems.

Comparative Analysis of Organic and Inorganic Systems

A comparative analysis of organic and inorganic systems is given in this book. Organic systems have a number of advantages over inorganic systems. Organic systems are more flexible than inorganic systems, which makes them easier to integrate into electronic circuits and systems. They are also more environmentally friendly than inorganic systems, which makes them more attractive for use in green technologies. Organic systems also have a higher resistance-to-voltage ratio than inorganic systems, which makes them more suitable for use in high-voltage applications. Inorganic systems have a number of advantages over organic systems. Inorganic systems are more stable than organic systems, which makes them more suitable for use in long-term applications. They are also more efficient than organic systems, which makes them more suitable for use in high-performance applications. Inorganic systems also have a lower power consumption than organic systems, which makes them more suitable for use in portable devices and embedded systems.

Fabrication Techniques for Organic Memristive Devices

There are a number of fabrication techniques for organic memristive devices. These techniques include chemical vapor deposition (CVD), atomic layer deposition (ALD), and spin-coating. CVD is a technique that uses a gas phase reaction to deposit a thin film of material on a substrate. ALD is a technique that uses a gas phase reaction to deposit a thin film of material on a substrate in a layer-by-layer manner. Spin-coating is a technique that uses a liquid to deposit a thin film of material on a substrate.

Properties of Organic Memristive Devices

Organic memristive devices have a number of properties that make them useful for use in electronic circuits and systems. These properties include the ability to store and retrieve information, the ability to perform logical operations, the ability to communicate with other systems, and the ability to adapt to changing environments. Organic memristive devices also have a high resistance-to-voltage ratio, which makes them more suitable for use in high-voltage applications. Organic memristive devices also have a low power consumption, which makes them ideal for use in portable devices and embedded systems.

Synapse Mimicking Circuits and Neuromorphic Systems

Synapse mimicking circuits and neuromorphic systems are electronic circuits and systems that mimic the behavior of biological neural networks. They are designed to process information in a way that is similar to the way that biological neurons process information. Synapse mimicking circuits and neuromorphic systems require a number of essential requirements. These requirements include the ability to store and retrieve information, the ability to perform logical operations, the ability to communicate with other systems, and the ability to adapt to changing environments. Memristive devices play a key role in synapse mimicking circuits and neuromorphic systems by providing a non-volatile memory that can be used to store and retrieve information. They also provide a means of performing logical operations and communicating with other systems.

Unconventional Applications of Organic Memristive Devices

Organic memristive devices have a number of unconventional applications. These applications include the development of bio-inspired circuits and neuromorphic systems, the development of smart sensors and actuators, and the development of energy-efficient systems. Bio-inspired circuits and neuromorphic systems are designed to mimic the behavior of biological neural networks. Smart sensors and actuators are designed to detect and respond to environmental stimuli. Energy-efficient systems are designed to reduce the amount of energy that is consumed by electronic devices.

Conclusion

This book provides a comprehensive overview of neuromorphic systems and memristive devices, which are essential for the realization of artificial intelligence and machine learning. It covers the working principles and models of memristive devices, preparation methods, properties, and different applications. A comparative analysis of organic and inorganic systems is also given. The author discusses all aspects of current research in organic memristive devices, including fabrication techniques, properties, synapse mimicking circuits, and neuromorphic systems (including perceptrons).

Weight: 433g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030794941
Edition number: 1st ed. 2022