Neuromorphic devices for brain-inspired computing: artificial intelligence, perception, and robotics
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Weitere Verfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Weinheim, Germany
Wiley-VCH
[2022]
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Schlagworte: | |
Online-Zugang: | http://www.wiley-vch.de/publish/dt/books/ISBN978-3-527-34979-1/ Inhaltsverzeichnis Inhaltsverzeichnis |
Beschreibung: | Literaturangaben |
Beschreibung: | xii, 244 Seiten Illustrationen, Diagramme 25 cm, 640 g |
ISBN: | 9783527349791 3527349790 |
Internformat
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020 | |a 9783527349791 |c Festeinband : circa EUR 129.00 (DE) (freier Preis) |9 978-3-527-34979-1 | ||
020 | |a 3527349790 |9 3-527-34979-0 | ||
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245 | 1 | 0 | |a Neuromorphic devices for brain-inspired computing |b artificial intelligence, perception, and robotics |c edited by Qing Wan and Yi Shi |
264 | 1 | |a Weinheim, Germany |b Wiley-VCH |c [2022] | |
300 | |a xii, 244 Seiten |b Illustrationen, Diagramme |c 25 cm, 640 g | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Literaturangaben | ||
650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
653 | |a Biowissenschaften | ||
653 | |a Electrical & Electronics Engineering | ||
653 | |a Electronic Materials | ||
653 | |a Elektronische Materialien | ||
653 | |a Elektrotechnik u. Elektronik | ||
653 | |a Life Sciences | ||
653 | |a Materials Science | ||
653 | |a Materialwissenschaften | ||
653 | |a Neural Networks | ||
653 | |a Neuronale Netze | ||
653 | |a Neuroscience | ||
653 | |a Neurowissenschaften | ||
653 | |a EE77: Neuronale Netze | ||
653 | |a LSA0: Neurowissenschaften | ||
653 | |a MS40: Elektronische Materialien | ||
653 | |a AI | ||
653 | |a KI | ||
653 | |a Künstliche Intelligenz | ||
653 | |a Neuromorphic Engineering | ||
655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
689 | 0 | 0 | |a Neuronales Netz |0 (DE-588)4226127-2 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Wan, Qing |0 (DE-588)1253240299 |4 edt | |
700 | 1 | |a Shi, Yi |4 edt | |
710 | 2 | |a Wiley-VCH |0 (DE-588)16179388-5 |4 pbl | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, PDF |z 978-3-527-83529-4 |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, EPUB |z 978-3-527-83530-0 |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-527-83531-7 |
856 | 4 | 2 | |m X:MVB |u http://www.wiley-vch.de/publish/dt/books/ISBN978-3-527-34979-1/ |
856 | 4 | 2 | |m B:DE-101 |q application/pdf |u https://d-nb.info/1238381723/04 |3 Inhaltsverzeichnis |
856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033627408&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
999 | |a oai:aleph.bib-bvb.de:BVB01-033627408 | ||
883 | 2 | |8 1\p |a dnb |d 20220411 |q DE-101 |u https://d-nb.info/provenance/plan#dnb |
Datensatz im Suchindex
_version_ | 1804184040648998912 |
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adam_text | CONTENTS
PREFACE
XI
1
TWO-TERMINAL
NEUROMORPHIC
MEMRISTORS
1
HUI-KAI
HE,
HE-MING
HUANG,
AND
RUI
YANG
1.1
1.1.1
L.L.L.L
1.1.1.2
1.1.2
1.1.2.1
1.1.2.2
1.2
1.2.1
1.2.1.1
1.2.1.2
1.2.2
1.3
1.3.1
1.3.1.1
1.3.1.2
1.3.2
1.3.2.1
1.3.2.2
1.4
1.4.1
1.4.2
1.5
MEMRISTIVE
DEVICES
1
MEMRISTIVE
DEVICE
STRUCTURE
AND
MATERIALS
1
MEMRISTIVE
DEVICE
STRUCTURE
1
MEMRISTIVE
MATERIALS
2
RESISTIVE
SWITCHING
BEHAVIOR
4
VOLATILE
RESISTIVE
SWITCHING
5
NONVOLATILE
RESISTIVE
SWITCHING
7
RESISTIVE
SWITCHING
MECHANISMS
7
FILAMENTARY-TYPE
RESISTIVE
SWITCHING
8
CATION
MIGRATION-RELATED
FILAMENTS
8
ANION
MIGRATION-RELATED
FILAMENTS
11
INTERFACE-TYPE
RESISTIVE
SWITCHING
14
MEMRISTIVE
BIOINSPIRED
DEVICES
17
MEMRISTIVE
SYNAPSES
18
SHORT-TERM
MEMRISTIVE
SYNAPSES
20
LONG-TERM
MEMRISTIVE
SYNAPSES
23
MEMRISTIVE
NEURONS
27
BIOPLAUSIBLE
MEMRISTIVE
NEURONS
31
BIOPHYSICAL
MEMRISTIVE
NEURONS
34
MEMRISTIVE
NEURAL
NETWORKS
36
MEMRISTIVE
ANN
COMPUTING
36
MEMRISTIVE
SNN
COMPUTING
39
SUMMARY
AND
OUTLOOK
41
REFERENCES
42
2
SPINTRONIC
NEUROMORPHIC
DEVICES
47
DEMING
ZHANG,
SAI
LI,
XINRAN
WANG,
AO
DU,
WANG
KANG,
LANG
ZENG,
AND
WEISHENG
ZHAO
2.1
2.2
INTRODUCTION
47
MAGNETIC
TUNNEL
JUNCTION
FOR
NEUROMORPHIC
COMPUTING
48
VI
CONTENTS
2.2.1
DEVICE
STRUCTURE
AND
THE
WRITE/READ
OPERATION
48
2.2.1.1
BINARY
MAGNETIC
TUNNEL
JUNCTION
48
2.2.1.2
MULTI-LEVEL
SPINTRONIC
MEMRISTOR
49
2.2.2
WORKING
AS
THE
SYNAPTIC
DEVICE
51
2.2.2.1
STOCHASTIC
BINARY
SYNAPTIC
DEVICE
51
2.2.2.2
ANALOG-LIKE
SYNAPTIC
DEVICE
52
2.2.3
WORKING
AS
THE
NEURAL
DEVICE
54
2.2.3.1
SPIKING
NEURAL
DEVICE
54
2.2.3.2
ARTIFICIAL
NEURAL
DEVICE
57
2.2.4
ALL-SPIN
NEURAL
NETWORK
61
2.2.4.1
ALL-SPIN
ARTIFICIAL
NEURAL
NETWORK
WITH
COMPOUND
SCHEME
61
2.2.4.2
ALL-SPIN
SPIKING
NEURAL
NETWORK
WITH
SPINTRONIC
MEMRISTOR
62
2.2.5
SUMMARY
AND
OUTLOOK
62
2.3
SKYRMION-BASED
NEUROMORPHIC
COMPUTING
62
2.3.1
THE
INTRODUCTION
OF
SKYRMIONS
62
2.3.2
SKYRMION-BASED
SYNAPSE
DEVICES
64
2.3.3
SKYRMION-BASED
NEURON
DEVICES
65
2.3.4
SKYRMION-BASED
RESERVOIR
COMPUTING
67
2.3.5
SKYRMION-BASED
STOCHASTIC
COMPUTING
68
2.3.6
CHALLENGES
AND
PERSPECTIVES
69
2.4
SPIN
TORQUE
OSCILLATORS
FOR
NEUROMORPHIC
COMPUTING
72
2.4.1
INTRODUCTION
TO
SPIN
TORQUE
OSCILLATOR
72
2.4.2
ASSOCIATIVE
MEMORY
BASED
ON
INJECTION
LOCKING
OF
STO
73
2.4.3
RESERVOIR
COMPUTING
BASED
ON
STO
74
2.4.4
RECURRENT
NEURAL
NETWORK
BASED
ON
DELAYED
FEEDBACK
OF
STO
75
2.4.5
NEUROMORPHIC
COMPUTING
BASED
ON
THE
SYNCHRONIZATION
OF
STO
77
2.4.6
PROBLEMS
AND
PERSPECTIVES
77
2.5
CONCLUSION
AND
OUTLOOK
80
REFERENCES
80
3
MULTITERMINAL
NEUROMORPHIC
DEVICES
WITH
COGNITIVE
BEHAVIORS
91
LI
QIANG
ZHU,
JIA
CHENG
CAI,
ZHENG
YU
REN,
WEN
XIONG,
AND
QING
WAN
3.1
INTRODUCTION
91
3.2
MULTITERMINAL
NEUROMORPHIC
MEMRISTORS
92
3.2.1
MEMRISTOR-BASED
NEUROMORPHIC
DEVICES
92
3.2.2
MULTITERMINAL
MEMRISTOR
FOR
NEUROMORPHIC
SYSTEM
96
3.2.2.1
SYNAPTIC
COMPETITION
AND
COOPERATION
ON
MULTITERMINAL
MEMRISTOR
96
3.2.2.2
HETEROSYNAPTIC
PLASTICITY
ON
MULTITERMINAL
MEMRISTOR
97
3.2.2.3
MULTITERMINAL
MEMTRANSISTOR
98
3.3
MULTITERMINAL
NEUROMORPHIC
TRANSISTORS
99
3.3.1
NEURON
TRANSISTORS
99
3.3.2
NEUROMORPHIC
DEVICES
FOR
CHEMICAL
BIOSENSOR
APPLICATIONS
101
33.2.1
CHEMICAL
BIOSENSORS
101
33.2.2
NEURON
TRANSISTORS
FOR
CHEMICAL
BIOSENSOR
102
CONTENTS
I
VII
3.3.23
3.3.3
3.3.3.1
3.33.2
3.3.33
3.33.4
3.4
3.4.1
3.4.2
3.4.3
3.5
MULTI-GATE
NEUROMORPHIC
TRANSISTOR
FOR
PH
SENSOR
103
DENDRITIC
ALGORITHM
ON
MULTITERMINAL
NEUROMORPHIC
TRANSISTORS
103
EGT-BASED
NEUROMORPHIC
TRANSISTORS
103
MULTI-GATE
NEUROMORPHIC
TRANSISTOR
105
DENDRITE
NEURON
AND
DENDRITIC
ALGORITHM
106
MULTI-GATE
NEUROMORPHIC
TRANSISTOR
FOR
PATTERN
RECOGNITION
109
NEUROMORPHIC
TRANSISTORS
FOR
PERCEPTION
LEARNING
ACTIVITIES
109
ARTIFICIAL
TACTILE
DEVICE
109
ARTIFICIAL
VISION
DEVICE
112
ARTIFICIAL
AUDITORY
DEVICE
113
CONCLUSION
AND
OUTLOOK
114
ACKNOWLEDGMENTS
116
REFERENCES
116
4
NEUROMORPHIC
DEVICES
BASED
ON
CHALCOGENIDE
MATERIALS
125
JIA
CHEN,
YIFAN
LU,
ZHE
YANG,
YI
LI,
AND
XIANGSHUI
MIAO
4.1
4.2
INTRODUCTION
125
OVONIC
MEMORY
SWITCHING
(OMS)
AND
THRESHOLD
SWITCHING
(OTS)
IN
CHALCOGENIDE
MATERIALS
126
4.3
4.4
4.5
4.6
ARTIFICIAL
SYNAPSES
BASED
ON
MS
BEHAVIORS
129
ARTIFICIAL
NEURONS
BASED
ON
TS
EFFECTS
136
HARDWARE
NEURAL
NETWORKS
139
SUMMARY
AND
OUTLOOK
143
REFERENCES
144
5
NEUROMORPHIC
DEVICES
BASED
ON
ORGANIC
MATERIALS
149
JUNYAO
ZHANG
AND
JIA
HUANG
5.1
5.2
5.2.1
5.2.2
5.2.3
5.2.4
5.3
5.3.1
5.3.2
5.3.3
5.3.4
5.4
INTRODUCTION
149
TWO-TERMINAL
ORGANIC
NEUROMORPHIC
DEVICES
149
METAL
FILAMENT
CONDUCTING-BASED
MEMRISTORS
150
REDOX
REACTION-BASED
MEMRISTORS
152
ION
MIGRATION-BASED
MEMRISTORS
153
CHARGE
TRAPPING-BASED
MEMRISTORS
155
THREE-TERMINAL
ORGANIC
NEUROMORPHIC
DEVICES
157
FLOATING-GATE
TRANSISTORS
157
ELECTROLYTE-GATE
TRANSISTORS
158
FERROELECTRIC-GATE
TRANSISTORS
162
OPTOELECTRONIC
TRANSISTORS
164
INNOVATIVE
APPLICATIONS
OF
ORGANIC
NEUROMORPHIC
DEVICES
FOR
BIONIC
PERCEPTION
SYSTEMS
165
5.4.1
5.4.2
5.5
ARTIFICIAL
VISUALIZATION
SYSTEMS
166
TACTILE-PERCEPTION
SYSTEMS
167
SUMMARY
AND
OUTLOOK
169
REFERENCES
170
VIII
CONTENTS
6
NEUROMORPHIC
COMPUTING
SYSTEMS
WITH
EMERGING
DEVICES
173
QIUMENG
WEI,
JIANSHI
TANG,
BIN
GAO,
XINYI
LI,
HE
QIAN,
AND
HUAQIANG
WU
6.1
6.1.1
6.1.2
6.1.3
INTRODUCTION
173
BACKGROUND
INTRODUCTION
173
THE
MOTIVATION
FOR
NEUROMORPHIC
COMPUTING
174
PROGRESS
AND
CHALLENGES
OF
CMOS-BASED
NEUROMORPHIC
COMPUTING
174
6.1.4
6.2
6.2.1
6.2.2
6.2.3
6.2.4
6.2.4.1
6.2.4.2
6.2.4.3
6.3
6.3.1
6.3.1.1
6.3.1.2
6.3.2
6.3.2.1
6.3.2.2
6.3.3
6.4
6.4.1
6.4.2
6.4.3
6.4.4
6.4.5
6.5
PRINCIPLES
OF
MEMRISTORS
176
DNNS
BASED
ON
SYNAPTIC
DEVICES
178
DEVICE
PERFORMANCE
REQUIREMENTS
178
ARRAY
DEMONSTRATIONS
179
CHIP
AND
SYSTEM
IMPLEMENTATIONS
183
ARCHITECTURE
AND
ALGORITHM
OPTIMIZATION
185
QUANTIZATION
185
NONIDEAL
ANALOG
SWITCHING
CHARACTERISTICS
186
SYNAPTIC
ARRAY
SIZE
186
SNNS
BASED
ON
NEUROMORPHIC
DEVICES
187
LEARNING
RULES
AND
MEMORY
PRINCIPLES
188
SYNAPSES
AND
NEURONS
IN
SNNS
188
LEARNING
ALGORITHMS
AND
BENCHMARKS
FOR
SNNS
188
SNNS
WITH
SYNAPTIC
DEVICES
AND
NEURONAL
DEVICES
189
SYNAPTIC
DEVICES
WITH
PLASTICITY
189
NEURONAL
DEVICES
191
SNN
IMPLEMENTATIONS
WITH
SYNAPTIC
ARRAYS
192
OTHER
NEUROMORPHIC
SYSTEMS
196
HYPERDIMENSIONAL
COMPUTING
196
DENDRITIC
COMPUTING
196
RESERVOIR
COMPUTING
202
OSCILLATORY
NEURAL
NETWORK
203
HOPFIELD
NEURAL
NETWORK
AND
SIMULATED
ANNEALING
203
SUMMARY
AND
OUTLOOK
204
REFERENCES
206
7
NEUROMORPHIC
PERCEPTUAL
SYSTEMS
WITH
EMERGING
DEVICES
217
YING
ZHU,
CHANGJIN
WAN,
AND
QING
WAN
7.1
7.2
7.2.1
7.2.2
7.3
7.3.1
7.3.2
7.3.2.1
BACKGROUND
217
SENSATION
AND
PERCEPTION
218
FROM
SENSATION
TO
PERCEPTION
218
PURSING
ARTIFICIAL
PERCEPTION
BY
NEUROMORPHIC
DEVICES
219
IMPLEMENTATION
OF
ARTIFICIAL
PERCEPTION
221
BUILDING
BLOCK
OF
ARTIFICIAL
PERCEPTION:
ARTIFICIAL
SENSORY
NEURON
221
INTELLIGENT
TASKS
BASED
ON
ARTIFICIAL
PERCEPTION
223
PATTERN
RECOGNITION
TASKS
224
CONTENTS
IX
73.2.2
7.3.3
7.4
7.4.1
7.4.2
PROSTHETICS
AND
ROBOTICS
APPLICATIONS
226
A
ROADMAP
TOWARD
NEUROMORPHIC
PERCEPTUAL
SYSTEM
226
CHALLENGES
AND
PERSPECTIVES
228
CHALLENGES
228
CONCLUSIONS
AND
PERSPECTIVES
229
REFERENCES
229
INDEX
235
|
adam_txt |
CONTENTS
PREFACE
XI
1
TWO-TERMINAL
NEUROMORPHIC
MEMRISTORS
1
HUI-KAI
HE,
HE-MING
HUANG,
AND
RUI
YANG
1.1
1.1.1
L.L.L.L
1.1.1.2
1.1.2
1.1.2.1
1.1.2.2
1.2
1.2.1
1.2.1.1
1.2.1.2
1.2.2
1.3
1.3.1
1.3.1.1
1.3.1.2
1.3.2
1.3.2.1
1.3.2.2
1.4
1.4.1
1.4.2
1.5
MEMRISTIVE
DEVICES
1
MEMRISTIVE
DEVICE
STRUCTURE
AND
MATERIALS
1
MEMRISTIVE
DEVICE
STRUCTURE
1
MEMRISTIVE
MATERIALS
2
RESISTIVE
SWITCHING
BEHAVIOR
4
VOLATILE
RESISTIVE
SWITCHING
5
NONVOLATILE
RESISTIVE
SWITCHING
7
RESISTIVE
SWITCHING
MECHANISMS
7
FILAMENTARY-TYPE
RESISTIVE
SWITCHING
8
CATION
MIGRATION-RELATED
FILAMENTS
8
ANION
MIGRATION-RELATED
FILAMENTS
11
INTERFACE-TYPE
RESISTIVE
SWITCHING
14
MEMRISTIVE
BIOINSPIRED
DEVICES
17
MEMRISTIVE
SYNAPSES
18
SHORT-TERM
MEMRISTIVE
SYNAPSES
20
LONG-TERM
MEMRISTIVE
SYNAPSES
23
MEMRISTIVE
NEURONS
27
BIOPLAUSIBLE
MEMRISTIVE
NEURONS
31
BIOPHYSICAL
MEMRISTIVE
NEURONS
34
MEMRISTIVE
NEURAL
NETWORKS
36
MEMRISTIVE
ANN
COMPUTING
36
MEMRISTIVE
SNN
COMPUTING
39
SUMMARY
AND
OUTLOOK
41
REFERENCES
42
2
SPINTRONIC
NEUROMORPHIC
DEVICES
47
DEMING
ZHANG,
SAI
LI,
XINRAN
WANG,
AO
DU,
WANG
KANG,
LANG
ZENG,
AND
WEISHENG
ZHAO
2.1
2.2
INTRODUCTION
47
MAGNETIC
TUNNEL
JUNCTION
FOR
NEUROMORPHIC
COMPUTING
48
VI
CONTENTS
2.2.1
DEVICE
STRUCTURE
AND
THE
WRITE/READ
OPERATION
48
2.2.1.1
BINARY
MAGNETIC
TUNNEL
JUNCTION
48
2.2.1.2
MULTI-LEVEL
SPINTRONIC
MEMRISTOR
49
2.2.2
WORKING
AS
THE
SYNAPTIC
DEVICE
51
2.2.2.1
STOCHASTIC
BINARY
SYNAPTIC
DEVICE
51
2.2.2.2
ANALOG-LIKE
SYNAPTIC
DEVICE
52
2.2.3
WORKING
AS
THE
NEURAL
DEVICE
54
2.2.3.1
SPIKING
NEURAL
DEVICE
54
2.2.3.2
ARTIFICIAL
NEURAL
DEVICE
57
2.2.4
ALL-SPIN
NEURAL
NETWORK
61
2.2.4.1
ALL-SPIN
ARTIFICIAL
NEURAL
NETWORK
WITH
COMPOUND
SCHEME
61
2.2.4.2
ALL-SPIN
SPIKING
NEURAL
NETWORK
WITH
SPINTRONIC
MEMRISTOR
62
2.2.5
SUMMARY
AND
OUTLOOK
62
2.3
SKYRMION-BASED
NEUROMORPHIC
COMPUTING
62
2.3.1
THE
INTRODUCTION
OF
SKYRMIONS
62
2.3.2
SKYRMION-BASED
SYNAPSE
DEVICES
64
2.3.3
SKYRMION-BASED
NEURON
DEVICES
65
2.3.4
SKYRMION-BASED
RESERVOIR
COMPUTING
67
2.3.5
SKYRMION-BASED
STOCHASTIC
COMPUTING
68
2.3.6
CHALLENGES
AND
PERSPECTIVES
69
2.4
SPIN
TORQUE
OSCILLATORS
FOR
NEUROMORPHIC
COMPUTING
72
2.4.1
INTRODUCTION
TO
SPIN
TORQUE
OSCILLATOR
72
2.4.2
ASSOCIATIVE
MEMORY
BASED
ON
INJECTION
LOCKING
OF
STO
73
2.4.3
RESERVOIR
COMPUTING
BASED
ON
STO
74
2.4.4
RECURRENT
NEURAL
NETWORK
BASED
ON
DELAYED
FEEDBACK
OF
STO
75
2.4.5
NEUROMORPHIC
COMPUTING
BASED
ON
THE
SYNCHRONIZATION
OF
STO
77
2.4.6
PROBLEMS
AND
PERSPECTIVES
77
2.5
CONCLUSION
AND
OUTLOOK
80
REFERENCES
80
3
MULTITERMINAL
NEUROMORPHIC
DEVICES
WITH
COGNITIVE
BEHAVIORS
91
LI
QIANG
ZHU,
JIA
CHENG
CAI,
ZHENG
YU
REN,
WEN
XIONG,
AND
QING
WAN
3.1
INTRODUCTION
91
3.2
MULTITERMINAL
NEUROMORPHIC
MEMRISTORS
92
3.2.1
MEMRISTOR-BASED
NEUROMORPHIC
DEVICES
92
3.2.2
MULTITERMINAL
MEMRISTOR
FOR
NEUROMORPHIC
SYSTEM
96
3.2.2.1
SYNAPTIC
COMPETITION
AND
COOPERATION
ON
MULTITERMINAL
MEMRISTOR
96
3.2.2.2
HETEROSYNAPTIC
PLASTICITY
ON
MULTITERMINAL
MEMRISTOR
97
3.2.2.3
MULTITERMINAL
MEMTRANSISTOR
98
3.3
MULTITERMINAL
NEUROMORPHIC
TRANSISTORS
99
3.3.1
NEURON
TRANSISTORS
99
3.3.2
NEUROMORPHIC
DEVICES
FOR
CHEMICAL
BIOSENSOR
APPLICATIONS
101
33.2.1
CHEMICAL
BIOSENSORS
101
33.2.2
NEURON
TRANSISTORS
FOR
CHEMICAL
BIOSENSOR
102
CONTENTS
I
VII
3.3.23
3.3.3
3.3.3.1
3.33.2
3.3.33
3.33.4
3.4
3.4.1
3.4.2
3.4.3
3.5
MULTI-GATE
NEUROMORPHIC
TRANSISTOR
FOR
PH
SENSOR
103
DENDRITIC
ALGORITHM
ON
MULTITERMINAL
NEUROMORPHIC
TRANSISTORS
103
EGT-BASED
NEUROMORPHIC
TRANSISTORS
103
MULTI-GATE
NEUROMORPHIC
TRANSISTOR
105
DENDRITE
NEURON
AND
DENDRITIC
ALGORITHM
106
MULTI-GATE
NEUROMORPHIC
TRANSISTOR
FOR
PATTERN
RECOGNITION
109
NEUROMORPHIC
TRANSISTORS
FOR
PERCEPTION
LEARNING
ACTIVITIES
109
ARTIFICIAL
TACTILE
DEVICE
109
ARTIFICIAL
VISION
DEVICE
112
ARTIFICIAL
AUDITORY
DEVICE
113
CONCLUSION
AND
OUTLOOK
114
ACKNOWLEDGMENTS
116
REFERENCES
116
4
NEUROMORPHIC
DEVICES
BASED
ON
CHALCOGENIDE
MATERIALS
125
JIA
CHEN,
YIFAN
LU,
ZHE
YANG,
YI
LI,
AND
XIANGSHUI
MIAO
4.1
4.2
INTRODUCTION
125
OVONIC
MEMORY
SWITCHING
(OMS)
AND
THRESHOLD
SWITCHING
(OTS)
IN
CHALCOGENIDE
MATERIALS
126
4.3
4.4
4.5
4.6
ARTIFICIAL
SYNAPSES
BASED
ON
MS
BEHAVIORS
129
ARTIFICIAL
NEURONS
BASED
ON
TS
EFFECTS
136
HARDWARE
NEURAL
NETWORKS
139
SUMMARY
AND
OUTLOOK
143
REFERENCES
144
5
NEUROMORPHIC
DEVICES
BASED
ON
ORGANIC
MATERIALS
149
JUNYAO
ZHANG
AND
JIA
HUANG
5.1
5.2
5.2.1
5.2.2
5.2.3
5.2.4
5.3
5.3.1
5.3.2
5.3.3
5.3.4
5.4
INTRODUCTION
149
TWO-TERMINAL
ORGANIC
NEUROMORPHIC
DEVICES
149
METAL
FILAMENT
CONDUCTING-BASED
MEMRISTORS
150
REDOX
REACTION-BASED
MEMRISTORS
152
ION
MIGRATION-BASED
MEMRISTORS
153
CHARGE
TRAPPING-BASED
MEMRISTORS
155
THREE-TERMINAL
ORGANIC
NEUROMORPHIC
DEVICES
157
FLOATING-GATE
TRANSISTORS
157
ELECTROLYTE-GATE
TRANSISTORS
158
FERROELECTRIC-GATE
TRANSISTORS
162
OPTOELECTRONIC
TRANSISTORS
164
INNOVATIVE
APPLICATIONS
OF
ORGANIC
NEUROMORPHIC
DEVICES
FOR
BIONIC
PERCEPTION
SYSTEMS
165
5.4.1
5.4.2
5.5
ARTIFICIAL
VISUALIZATION
SYSTEMS
166
TACTILE-PERCEPTION
SYSTEMS
167
SUMMARY
AND
OUTLOOK
169
REFERENCES
170
VIII
CONTENTS
6
NEUROMORPHIC
COMPUTING
SYSTEMS
WITH
EMERGING
DEVICES
173
QIUMENG
WEI,
JIANSHI
TANG,
BIN
GAO,
XINYI
LI,
HE
QIAN,
AND
HUAQIANG
WU
6.1
6.1.1
6.1.2
6.1.3
INTRODUCTION
173
BACKGROUND
INTRODUCTION
173
THE
MOTIVATION
FOR
NEUROMORPHIC
COMPUTING
174
PROGRESS
AND
CHALLENGES
OF
CMOS-BASED
NEUROMORPHIC
COMPUTING
174
6.1.4
6.2
6.2.1
6.2.2
6.2.3
6.2.4
6.2.4.1
6.2.4.2
6.2.4.3
6.3
6.3.1
6.3.1.1
6.3.1.2
6.3.2
6.3.2.1
6.3.2.2
6.3.3
6.4
6.4.1
6.4.2
6.4.3
6.4.4
6.4.5
6.5
PRINCIPLES
OF
MEMRISTORS
176
DNNS
BASED
ON
SYNAPTIC
DEVICES
178
DEVICE
PERFORMANCE
REQUIREMENTS
178
ARRAY
DEMONSTRATIONS
179
CHIP
AND
SYSTEM
IMPLEMENTATIONS
183
ARCHITECTURE
AND
ALGORITHM
OPTIMIZATION
185
QUANTIZATION
185
NONIDEAL
ANALOG
SWITCHING
CHARACTERISTICS
186
SYNAPTIC
ARRAY
SIZE
186
SNNS
BASED
ON
NEUROMORPHIC
DEVICES
187
LEARNING
RULES
AND
MEMORY
PRINCIPLES
188
SYNAPSES
AND
NEURONS
IN
SNNS
188
LEARNING
ALGORITHMS
AND
BENCHMARKS
FOR
SNNS
188
SNNS
WITH
SYNAPTIC
DEVICES
AND
NEURONAL
DEVICES
189
SYNAPTIC
DEVICES
WITH
PLASTICITY
189
NEURONAL
DEVICES
191
SNN
IMPLEMENTATIONS
WITH
SYNAPTIC
ARRAYS
192
OTHER
NEUROMORPHIC
SYSTEMS
196
HYPERDIMENSIONAL
COMPUTING
196
DENDRITIC
COMPUTING
196
RESERVOIR
COMPUTING
202
OSCILLATORY
NEURAL
NETWORK
203
HOPFIELD
NEURAL
NETWORK
AND
SIMULATED
ANNEALING
203
SUMMARY
AND
OUTLOOK
204
REFERENCES
206
7
NEUROMORPHIC
PERCEPTUAL
SYSTEMS
WITH
EMERGING
DEVICES
217
YING
ZHU,
CHANGJIN
WAN,
AND
QING
WAN
7.1
7.2
7.2.1
7.2.2
7.3
7.3.1
7.3.2
7.3.2.1
BACKGROUND
217
SENSATION
AND
PERCEPTION
218
FROM
SENSATION
TO
PERCEPTION
218
PURSING
ARTIFICIAL
PERCEPTION
BY
NEUROMORPHIC
DEVICES
219
IMPLEMENTATION
OF
ARTIFICIAL
PERCEPTION
221
BUILDING
BLOCK
OF
ARTIFICIAL
PERCEPTION:
ARTIFICIAL
SENSORY
NEURON
221
INTELLIGENT
TASKS
BASED
ON
ARTIFICIAL
PERCEPTION
223
PATTERN
RECOGNITION
TASKS
224
CONTENTS
IX
73.2.2
7.3.3
7.4
7.4.1
7.4.2
PROSTHETICS
AND
ROBOTICS
APPLICATIONS
226
A
ROADMAP
TOWARD
NEUROMORPHIC
PERCEPTUAL
SYSTEM
226
CHALLENGES
AND
PERSPECTIVES
228
CHALLENGES
228
CONCLUSIONS
AND
PERSPECTIVES
229
REFERENCES
229
INDEX
235 |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author2 | Wan, Qing Shi, Yi |
author2_role | edt edt |
author2_variant | q w qw y s ys |
author_GND | (DE-588)1253240299 |
author_facet | Wan, Qing Shi, Yi |
building | Verbundindex |
bvnumber | BV048247044 |
classification_rvk | ST 301 |
ctrlnum | (OCoLC)1302757286 (DE-599)DNB1238381723 |
discipline | Informatik |
discipline_str_mv | Informatik |
format | Book |
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genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
genre_facet | Aufsatzsammlung |
id | DE-604.BV048247044 |
illustrated | Illustrated |
index_date | 2024-07-03T19:56:06Z |
indexdate | 2024-07-10T09:33:01Z |
institution | BVB |
institution_GND | (DE-588)16179388-5 |
isbn | 9783527349791 3527349790 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033627408 |
oclc_num | 1302757286 |
open_access_boolean | |
owner | DE-703 DE-573 |
owner_facet | DE-703 DE-573 |
physical | xii, 244 Seiten Illustrationen, Diagramme 25 cm, 640 g |
publishDate | 2022 |
publishDateSearch | 2022 |
publishDateSort | 2022 |
publisher | Wiley-VCH |
record_format | marc |
spelling | Neuromorphic devices for brain-inspired computing artificial intelligence, perception, and robotics edited by Qing Wan and Yi Shi Weinheim, Germany Wiley-VCH [2022] xii, 244 Seiten Illustrationen, Diagramme 25 cm, 640 g txt rdacontent n rdamedia nc rdacarrier Literaturangaben Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Biowissenschaften Electrical & Electronics Engineering Electronic Materials Elektronische Materialien Elektrotechnik u. Elektronik Life Sciences Materials Science Materialwissenschaften Neural Networks Neuronale Netze Neuroscience Neurowissenschaften EE77: Neuronale Netze LSA0: Neurowissenschaften MS40: Elektronische Materialien AI KI Künstliche Intelligenz Neuromorphic Engineering (DE-588)4143413-4 Aufsatzsammlung gnd-content Neuronales Netz (DE-588)4226127-2 s DE-604 Wan, Qing (DE-588)1253240299 edt Shi, Yi edt Wiley-VCH (DE-588)16179388-5 pbl Erscheint auch als Online-Ausgabe, PDF 978-3-527-83529-4 Erscheint auch als Online-Ausgabe, EPUB 978-3-527-83530-0 Erscheint auch als Online-Ausgabe 978-3-527-83531-7 X:MVB http://www.wiley-vch.de/publish/dt/books/ISBN978-3-527-34979-1/ B:DE-101 application/pdf https://d-nb.info/1238381723/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033627408&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p dnb 20220411 DE-101 https://d-nb.info/provenance/plan#dnb |
spellingShingle | Neuromorphic devices for brain-inspired computing artificial intelligence, perception, and robotics Neuronales Netz (DE-588)4226127-2 gnd |
subject_GND | (DE-588)4226127-2 (DE-588)4143413-4 |
title | Neuromorphic devices for brain-inspired computing artificial intelligence, perception, and robotics |
title_auth | Neuromorphic devices for brain-inspired computing artificial intelligence, perception, and robotics |
title_exact_search | Neuromorphic devices for brain-inspired computing artificial intelligence, perception, and robotics |
title_exact_search_txtP | Neuromorphic devices for brain-inspired computing artificial intelligence, perception, and robotics |
title_full | Neuromorphic devices for brain-inspired computing artificial intelligence, perception, and robotics edited by Qing Wan and Yi Shi |
title_fullStr | Neuromorphic devices for brain-inspired computing artificial intelligence, perception, and robotics edited by Qing Wan and Yi Shi |
title_full_unstemmed | Neuromorphic devices for brain-inspired computing artificial intelligence, perception, and robotics edited by Qing Wan and Yi Shi |
title_short | Neuromorphic devices for brain-inspired computing |
title_sort | neuromorphic devices for brain inspired computing artificial intelligence perception and robotics |
title_sub | artificial intelligence, perception, and robotics |
topic | Neuronales Netz (DE-588)4226127-2 gnd |
topic_facet | Neuronales Netz Aufsatzsammlung |
url | http://www.wiley-vch.de/publish/dt/books/ISBN978-3-527-34979-1/ https://d-nb.info/1238381723/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033627408&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT wanqing neuromorphicdevicesforbraininspiredcomputingartificialintelligenceperceptionandrobotics AT shiyi neuromorphicdevicesforbraininspiredcomputingartificialintelligenceperceptionandrobotics AT wileyvch neuromorphicdevicesforbraininspiredcomputingartificialintelligenceperceptionandrobotics |
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