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Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

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Cover of 'Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices'

Table of Contents

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    Book Overview
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    Chapter 1 Hardware Spiking Artificial Neurons, Their Response Function, and Noises
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    Chapter 2 Synaptic Plasticity with Memristive Nanodevices
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    Chapter 3 Neuromemristive Systems: A Circuit Design Perspective
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    Chapter 4 Memristor-Based Platforms: A Comparison Between Continous-Time and Discrete-Time Cellular Neural Networks
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    Chapter 5 Reinterpretation of Magnetic Tunnel Junctions as Stochastic Memristive Devices
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    Chapter 6 Multiple Binary OxRAMs as Synapses for Convolutional Neural Networks
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    Chapter 7 Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing
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    Chapter 8 Novel Biomimetic Si Devices for Neuromorphic Computing Architecture
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    Chapter 9 Exploiting Variability in Resistive Memory Devices for Cognitive Systems
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    Chapter 10 Theoretical Analysis of Spike-Timing-Dependent Plasticity Learning with Memristive Devices
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    Chapter 11 Erratum to: Novel Biomimetic Si Devices for Neuromorphic Computing Architecture
Attention for Chapter 9: Exploiting Variability in Resistive Memory Devices for Cognitive Systems
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