Neuromorphic Systems Engineering

1. Front Matter

   Pages i-xvii

   PDF

2. Cochlear Systems

   1. Front Matter

      Pages 1-1

      PDF

   2. Filter Cascades as Analogs of the Cochlea

      • Richard F. Lyon

      Pages 3-18

   3. An Analogue VLSI Model of Active Cochlea

      • Eric Fragnière, André van Schaik, Eric A. Vittoz

      Pages 19-47

   4. A Low-Power Wide-Dynamic-Range Analog VLSI Cochlea

      • Rahul Sarpeshkar, Richard F. Lyon, Carver Mead

      Pages 49-103

   5. Speech Recognition Experiments with Silicon Auditory Models

      • John Lazzaro, John Wawrzynek

      Pages 105-126

3. Retinomorphic Systems

   1. Front Matter

      Pages 127-127

      PDF

   2. The Retinomorphic Approach: Pixel-Parallel Adaptive Amplification, Filtering, and Quantization

      • Kwabena A. Boahen

      Pages 129-150

   3. Analog VLSI Excitatory Feedback Circuits for Attentional Shifts and Tracking

      • T. G. Morris, S. P. DeWeerth

      Pages 151-174

   4. Floating-Gate Circuits for Adaptation of Saccadic Eye Movement Accuracy

      • Timothy K. Horiuchi, Christof Koch

      Pages 175-189

4. Neuromorphic Communication

   1. Front Matter

      Pages 191-191

      PDF

   2. Introduction to Neuromorphic Communication

      • Tor Sverre Lande

      Pages 193-200

   3. A Pulsed Communication/Computation Framework for Analog VLSI Perceptive Systems

      • Alessandro Mortara

      Pages 201-215

   4. Asynchronous Communication of 2D Motion Information Using Winner-Takes-All Arbitration

      • Zaven Kalayjian, Andreas G. Andreou

      Pages 217-227

   5. Communicating Neuronal Ensembles between Neuromorphic Chips

      • Kwabena A. Boahen

      Pages 229-259

5. Neuromorphic Technology

   1. Front Matter

      Pages 261-261

      PDF

   2. Introduction: From Neurobiology to Silicon

      • Chris Diorio

      Pages 263-266

   3. A Low-Power Wide-Linear-Range Transconductance Amplifier

      • Rahul Sarpeshkar, Richard F. Lyon, Carver Mead

      Pages 267-313

   4. Floating-Gate MOS Synapse Transistors

      • Chris Diorio, Paul Hasler, Bradley A. Minch, Carver Mead

      Pages 315-337

   5. Neuromorphic Synapses for Artificial Dendrites

      • Wayne C. Westerman, David P. M. Northmore, John. G. Elias

      Pages 339-365

Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind.
Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives.
Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include:

large scale analog systems in silicon

neuromorphic silicon

auditory (ear) and vision (eye) systems in silicon

learning and adaptation in silicon

merging biology and technology

micropower analog circuit design

analog memory

analog interchipcommunication on digital buses £/LIST£
Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject.

• VLSI
• analog
• analog circuit design
• communication
• filter
• model
• network
• networks
• neural networks
• speech recognition
• technology
• transistor

• University of Oslo, Norway

  Tor Sverre Lande

Policies and ethics