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Neuromorphic Systems Engineering

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Cover of 'Neuromorphic Systems Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Filter Cascades as Analogs of the Cochlea
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    Chapter 2 An Analogue VLSI Model of Active Cochlea
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    Chapter 3 A Low-Power Wide-Dynamic-Range Analog VLSI Cochlea
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    Chapter 4 Speech Recognition Experiments with Silicon Auditory Models
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    Chapter 5 The Retinomorphic Approach: Pixel-Parallel Adaptive Amplification, Filtering, and Quantization
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    Chapter 6 Analog VLSI Excitatory Feedback Circuits for Attentional Shifts and Tracking
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    Chapter 7 Floating-Gate Circuits for Adaptation of Saccadic Eye Movement Accuracy
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    Chapter 8 Introduction to Neuromorphic Communication
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    Chapter 9 A Pulsed Communication/Computation Framework for Analog VLSI Perceptive Systems
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    Chapter 10 Asynchronous Communication of 2D Motion Information Using Winner-Takes-All Arbitration
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    Chapter 11 Communicating Neuronal Ensembles between Neuromorphic Chips
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    Chapter 12 Introduction: From Neurobiology to Silicon
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    Chapter 13 A Low-Power Wide-Linear-Range Transconductance Amplifier
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    Chapter 14 Floating-Gate MOS Synapse Transistors
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    Chapter 15 Neuromorphic Synapses for Artificial Dendrites
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    Chapter 16 Winner-Take-All Networks with Lateral Excitation
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    Chapter 17 Neuromorphic Learning VLSI Systems: A Survey
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    Chapter 18 Analog VLSI Stochastic Perturbative Learning Architectures
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    Chapter 19 Winner-Takes-All Associative Memory: A Hamming Distance Vector Quantizer
Attention for Chapter 2: An Analogue VLSI Model of Active Cochlea
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