Memristive Devices for Brain Inspired Computing

Written By Sabina Spiga
Memristive Devices for Brain Inspired Computing
  • Publsiher : Woodhead Publishing
  • Release : 12 June 2020
  • ISBN : 0081027877
  • Pages : 564 pages
  • Rating : /5 from reviews
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Download or read book entitled Memristive Devices for Brain Inspired Computing by author: Sabina Spiga which was release on 12 June 2020 and published by Woodhead Publishing with total page 564 pages . This book available in PDF, EPUB and Kindle Format. Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications—Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists. Provides readers an overview of four key concepts in this emerging research topic including materials and device aspects, algorithmic aspects, circuits and architectures and target applications Covers a broad range of applications, including brain-inspired computing, computational memory, deep learning and spiking neural networks Includes perspectives from a wide range of disciplines, including materials science, electrical engineering and computing, providing a unique interdisciplinary look at the field

Memristive Devices for Brain Inspired Computing

Memristive Devices for Brain Inspired Computing
  • Author : Sabina Spiga,Abu Sebastian,Damien Querlioz,Bipin Rajendran
  • Publisher : Woodhead Publishing
  • Release Date : 2020-06-12
  • Total pages : 564
  • ISBN : 0081027877
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Summary : Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications—Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, ...

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
  • Author : Jordi Suñé
  • Publisher : MDPI
  • Release Date : 2020-04-09
  • Total pages : 244
  • ISBN : 0081027877
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Summary : Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network ...

Architectures and Algorithms for Intrinsic Computation with Memristive Devices

Architectures and Algorithms for Intrinsic Computation with Memristive Devices
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2016
  • Total pages : 156
  • ISBN : 0081027877
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Summary : Neuromorphic engineering is the research field dedicated to the study and design of brain-inspired hardware and software tools. Recent advances in emerging nanoelectronics promote the implementation of synaptic connections based on memristive devices. Their non-volatile modifiable conductance was shown to exhibit the synaptic properties often used in connecting and training ...

Design of a Neuromemristive Echo State Network Architecture

Design of a Neuromemristive Echo State Network Architecture
  • Author : Qutaiba Mohammed Saleh
  • Publisher : Unknown
  • Release Date : 2015
  • Total pages : 140
  • ISBN : 0081027877
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Summary : "Echo state neural networks (ESNs) provide an efficient classification technique for spatiotemporal signals. The feedback connections in the ESN enable feature extraction in both spatial and temporal components in time series data. This property has been used in several application domains such as image and video analysis, anomaly detection, and ...

Frontiers in Memristive Materials for Neuromorphic Processing Applications

Frontiers in Memristive Materials for Neuromorphic Processing Applications
  • Author : National Academies of Sciences Engineering and Medicine,Division on Engineering and Physical Sciences,Board on Physics and Astronomy,Condensed Matter and Materials Research Committee
  • Publisher : Unknown
  • Release Date : 2021-09-22
  • Total pages : 212
  • ISBN : 0081027877
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Summary : Current von Neumann style computing is energy inefficient and bandwidth limited as information is physically shuttled via electrons between processor, short term non-volatile memory, and long-term storage. Biologically inspired neuromorphic computing, with its inherent autonomous learning capabilities and much lower power requirements based on analog processing, is seen as an ...

Enabling Technologies for Very Large Scale Synaptic Electronics

Enabling Technologies for Very Large Scale Synaptic Electronics
  • Author : Themis Prodromakis,Alexantrou Serb
  • Publisher : Frontiers Media SA
  • Release Date : 2018-07-05
  • Total pages : 212
  • ISBN : 0081027877
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Summary : An important part of the colossal effort associated with the understanding of the brain involves using electronics hardware technology in order to reproduce biological behavior in ‘silico’. The idea revolves around leveraging decades of experience in the electronics industry as well as new biological findings that are employed towards reproducing ...

Hardware Neuromorphic Learning Systems Utilizing Memristive Devices

Hardware Neuromorphic Learning Systems Utilizing Memristive Devices
  • Author : Michael Soltiz
  • Publisher : Unknown
  • Release Date : 2012
  • Total pages : 130
  • ISBN : 0081027877
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Summary : "As the efficiency of neuromorphic systems improves, biologically-inspired learning techniques are becoming more and more appealing for various computing applications, ranging from pattern and character recognition to general purpose reconfigurable logic. Due to their functional similarities to synapses in the brain, memristors are becoming a key element in the hardware ...

Energy Efficient and Error Resilient Neuromorphic Computing in VLSI

Energy Efficient and Error Resilient Neuromorphic Computing in VLSI
  • Author : Yongtae Kim
  • Publisher : Unknown
  • Release Date : 2014
  • Total pages : 212
  • ISBN : 0081027877
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Summary : Realization of the conventional Von Neumann architecture faces increasing challenges due to growing process variations, device reliability and power consumption. As an appealing architectural solution, brain-inspired neuromorphic computing has drawn a great deal of research interest due to its potential improved scalability and power efficiency, and better suitability in processing ...

The Synthesis of Memristive Neuromorphic Circuits

The Synthesis of Memristive Neuromorphic Circuits
  • Author : Austin Richard Wyer
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 95
  • ISBN : 0081027877
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Summary : As Moores Law has come to a halt, it has become necessary to explore alternative forms of computation that are not limited in the same ways as traditional CMOS technologies and the Von Neumann architecture. Neuromorphic computing, computing inspired by the human brain with neurons and synapses, has been proposed ...

Circuits and Systems for Biomedical Applications

Circuits and Systems for Biomedical Applications
  • Author : Heidari, Hadi,Ghoreishizadeh, Sara
  • Publisher : River Publishers
  • Release Date : 2018-12-05
  • Total pages : 182
  • ISBN : 0081027877
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Summary : Circuits and Systems for Biomedical Applications-UKCAS 2018 covers several advanced topics in the area of Devices, Analog and Mixed-Signal Circuits and Systems for Biomedical Applications. The fundamental aspects of these topics are discussed, and state-of-the-art developments are presented. The book proceeds the 1st United Kingdom Circuits and Systems (UKCAS 2018) Workshop. It ...