Event-Based Neuromorphic Systems

Contents

List of Contributors
Foreword
Acknowledgments
List of Abbreviations and Acronyms
1	Introduction
1.1	Origins and Historical Context
1.2	Building Useful Neuromorphic Systems
References
Part I	UNDERSTANDING NEUROMORPHIC SYSTEMS
2	Communication
2.1	Introduction
2.2	Address-Event Representation
2.2.1	AER Encoders
2.2.2	Arbitration Mechanisms
2.2.3	Encoding Mechanisms
2.2.4	Multiple AER Endpoints
2.2.5	Address Mapping
2.2.6	Routing
2.3	Considerations for AER Link Design
2.3.1	Trade-off: Dynamic or Static Allocation
2.3.2	Trade-off: Arbitered Access or Collisions?
2.3.3	Trade-off: Queueing versus Dropping Spikes
2.3.4	Predicting Throughput Requirements
2.3.5	Design Trade-offs
2.4	The Evolution of AER Links
2.4.1	Single Sender, Single Receiver
2.4.2	Multiple Senders, Multiple Receivers
2.4.3	Parallel Signal Protocol
2.4.4	Word-Serial Addressing
2.4.5	Serial Differential Signaling
2.5	Discussion
References
3	Silicon Retinas
3.1	Introduction
3.2	Biological Retinas
3.3	Silicon Retinas with Serial Analog Output
3.4	Asynchronous Event-Based Pixel Output Versus Synchronous Frames
3.5	AER Retinas
3.5.1	Dynamic Vision Sensor
3.5.2	Asynchronous Time-Based Image Sensor
3.5.3	Asynchronous Parvo–Magno Retina Model
3.5.4	Event-Based Intensity-Coding Imagers (Octopus and TTFS)
3.5.5	Spatial Contrast and Orientation Vision Sensor (VISe)
3.6	Silicon Retina Pixels
3.6.1	DVS Pixel ...