Coverart for item
The Resource Event-based neuromorphic systems, edited by Shih-Chii S. Liu, Tobi Delbruck, Giacomo Indiveri, Adrian Whatley, Rodney Douglas

Event-based neuromorphic systems, edited by Shih-Chii S. Liu, Tobi Delbruck, Giacomo Indiveri, Adrian Whatley, Rodney Douglas

Label
Event-based neuromorphic systems
Title
Event-based neuromorphic systems
Statement of responsibility
edited by Shih-Chii S. Liu, Tobi Delbruck, Giacomo Indiveri, Adrian Whatley, Rodney Douglas
Contributor
Subject
Genre
Language
eng
Summary
"Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain's efficient data-driven communication design, which is key to its quick responses and remarkable capabilities. This cross-disciplinary text establishes how circuit building blocks are combined in architectures to construct complete systems. These include vision and auditory sensors as well as neuronal processing and learning circuits that implement models of nervous systems. Techniques for building multi-chip scalable systems are considered throughout the book, including methods for dealing with transistor mismatch, extensive discussions of communication and interfacing, and making systems that operate in the real world. The book also provides historical context that helps relate the architectures and circuits to each other and that guides readers to the extensive literature. Chapters are written by founding experts and have been extensively edited for overall coherence. This pioneering text is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems. Key features: Summarises the latest design approaches, applications, and future challenges in the field of neuromorphic engineering. Presents examples of practical applications of neuromorphic design principles. Covers address-event communication, retinas, cochleas, locomotion, learning theory, neurons, synapses, floating gate circuits, hardware and software infrastructure, algorithms, and future challenges"--
Member of
Assigning source
Provided by publisher
Cataloging source
DLC
Dewey number
660.6/3
Index
index present
LC call number
TA164.4
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Liu, Shih-Chii
http://library.link/vocab/subjectName
  • Neuromorphics
  • Discrete-time systems
  • Neural networks (Neurobiology)
  • TECHNOLOGY & ENGINEERING
  • Discrete-time systems
  • Neuromorphics
Label
Event-based neuromorphic systems, edited by Shih-Chii S. Liu, Tobi Delbruck, Giacomo Indiveri, Adrian Whatley, Rodney Douglas
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 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 Sensor3.5.2 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; 3.6.2 ATIS Pixel; 3.6.3 VISe Pixel; 3.6.4 Octopus Pixel; 3.7 New Specifications for Silicon Retinas; 3.7.1 DVS Response Uniformity; 3.7.2 DVS Background Activity; 3.7.3 DVS Dynamic Range; 3.7.4 DVS Latency and Jitter; 3.8 Discussion; References; 4 Silicon Cochleas; 4.1 Introduction; 4.2 Cochlea Architectures
  • 4.2.1 Cascaded 1D4.2.2 Basic 1D Silicon Cochlea; 4.2.3 2D Architecture; 4.2.4 The Resistive (Conductive) Network; 4.2.5 The BM Resonators; 4.2.6 The 2D Silicon Cochlea Model; 4.2.7 Adding the Active Nonlinear Behavior of the OHCs; 4.3 Spike-Based Cochleas; 4.3.1 Q-control of AEREAR2 Filters; 4.3.2 Applications: Spike-Based Auditory Processing; 4.4 Tree Diagram; 4.5 Discussion; References; 5 Locomotion Motor Control; 5.1 Introduction; 5.1.1 Determining Functional Biological Elements; 5.1.2 Rhythmic Motor Patterns; 5.2 Modeling Neural Circuits in Locomotor Control
  • 5.2.1 Describing Locomotor Behavior5.2.2 Fictive Analysis; 5.2.3 Connection Models; 5.2.4 Basic CPG Construction; 5.2.5 Neuromorphic Architectures; 5.3 Neuromorphic CPGs at Work; 5.3.1 A Neuroprosthesis: Control of Locomotion in Vivo; 5.3.2 Walking Robots; 5.3.3 Modeling Intersegmental Coordination; 5.4 Discussion; References; 6 Learning in Neuromorphic Systems; 6.1 Introduction: Synaptic Connections, Memory, and Learning; 6.2 Retaining Memories in Neuromorphic Hardware; 6.2.1 The Problem of Memory Maintenance: Intuition; 6.2.2 The Problem of Memory Maintenance: Quantitative Analysis
Control code
896359645
Extent
1 online resource
Form of item
online
Isbn
9781118927625
Lccn
2014045483
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000660
Specific material designation
remote
System control number
(OCoLC)896359645
Label
Event-based neuromorphic systems, edited by Shih-Chii S. Liu, Tobi Delbruck, Giacomo Indiveri, Adrian Whatley, Rodney Douglas
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 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 Sensor3.5.2 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; 3.6.2 ATIS Pixel; 3.6.3 VISe Pixel; 3.6.4 Octopus Pixel; 3.7 New Specifications for Silicon Retinas; 3.7.1 DVS Response Uniformity; 3.7.2 DVS Background Activity; 3.7.3 DVS Dynamic Range; 3.7.4 DVS Latency and Jitter; 3.8 Discussion; References; 4 Silicon Cochleas; 4.1 Introduction; 4.2 Cochlea Architectures
  • 4.2.1 Cascaded 1D4.2.2 Basic 1D Silicon Cochlea; 4.2.3 2D Architecture; 4.2.4 The Resistive (Conductive) Network; 4.2.5 The BM Resonators; 4.2.6 The 2D Silicon Cochlea Model; 4.2.7 Adding the Active Nonlinear Behavior of the OHCs; 4.3 Spike-Based Cochleas; 4.3.1 Q-control of AEREAR2 Filters; 4.3.2 Applications: Spike-Based Auditory Processing; 4.4 Tree Diagram; 4.5 Discussion; References; 5 Locomotion Motor Control; 5.1 Introduction; 5.1.1 Determining Functional Biological Elements; 5.1.2 Rhythmic Motor Patterns; 5.2 Modeling Neural Circuits in Locomotor Control
  • 5.2.1 Describing Locomotor Behavior5.2.2 Fictive Analysis; 5.2.3 Connection Models; 5.2.4 Basic CPG Construction; 5.2.5 Neuromorphic Architectures; 5.3 Neuromorphic CPGs at Work; 5.3.1 A Neuroprosthesis: Control of Locomotion in Vivo; 5.3.2 Walking Robots; 5.3.3 Modeling Intersegmental Coordination; 5.4 Discussion; References; 6 Learning in Neuromorphic Systems; 6.1 Introduction: Synaptic Connections, Memory, and Learning; 6.2 Retaining Memories in Neuromorphic Hardware; 6.2.1 The Problem of Memory Maintenance: Intuition; 6.2.2 The Problem of Memory Maintenance: Quantitative Analysis
Control code
896359645
Extent
1 online resource
Form of item
online
Isbn
9781118927625
Lccn
2014045483
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000660
Specific material designation
remote
System control number
(OCoLC)896359645

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