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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
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Citations

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18 Mendeley
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Title
Neuromorphic Systems Engineering
Published by
Springer US, August 2007
DOI 10.1007/b102308
ISBNs
978-0-7923-8158-7, 978-0-585-28001-1
Editors

Lande, Tor Sverre

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Spain 1 6%
Germany 1 6%
Australia 1 6%
Unknown 14 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Researcher 6 33%
Unspecified 1 6%
Professor 1 6%
Other 1 6%
Other 2 11%
Readers by discipline Count As %
Engineering 11 61%
Computer Science 4 22%
Unspecified 1 6%
Design 1 6%
Unknown 1 6%