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Advances in Neuromorphic Memristor Science and Applications

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Cover of 'Advances in Neuromorphic Memristor Science and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Prolog: Memristor Minds
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    Chapter 2 Are Memristors the Future of AI?
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    Chapter 3 Biologically-Inspired Electronics with Memory Circuit Elements
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    Chapter 4 Persuading Computers to Act More Like Brains
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    Chapter 5 Memristors for More Than Just Memory: How to Use Learning to Expand Applications
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    Chapter 6 Computational Intelligence and Neuromorphic Computing Architectures
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    Chapter 7 Reconfigurable Memristor Fabrics for Heterogeneous Computing
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    Chapter 8 Statistical Memristor Model and Its Applications in Neuromorphic Computing
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    Chapter 9 Adaptive Resonance Theory Design in Mixed Memristive-Fuzzy Hardware
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    Chapter 10 Phase Change Memory and Chalcogenide Materials for Neuromorphic Applications: Emphasis on Synaptic Plasticity
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    Chapter 11 Energy-Efficient Memristive Analog and Digital Electronics
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    Chapter 12 Memristor SPICE Modeling
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    Chapter 13 Memristor Models for Pattern Recognition Systems
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    Chapter 14 A Columnar V1/V2 Visual Cortex Model and Emulation
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    Chapter 15 Polymer and Nanoparticle-Composite Bistable Devices: Physics of Operation and Initial Applications
Attention for Chapter 9: Adaptive Resonance Theory Design in Mixed Memristive-Fuzzy Hardware
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