Oscillatory neural networks: in problems of parallel information processing
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| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin [u.a.]
De Gruyter
2014
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | XII, 160 S. Ill., graph. Darst. |
| ISBN: | 9783110268355 |
Staff View
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| 264 | 1 | |a Berlin [u.a.] |b De Gruyter |c 2014 | |
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Record in the Search Index
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| adam_text | CONTENTS
PREFACE V
1 INTRODUCTION 1
1.1 BRAIN: STRUCTURE AND FUNCTION PRINCIPLES 1
1.2 ARTIFICIAL NEURAL NETWORKS 4
1.2.1 NEURON MODELS 4
1.2.2 FEEDFORWARD NETWORKS 5
1.2.3 RECURRENT NEURAL NETWORKS 6
1.3 RECURRENT NEURAL NETWORKS OF ASSOCIATIVE MEMORY 7
1.4 HOPFIELD NETWORK MODEL 8
1.5 LEARNING OF NEURAL NETWORKS 9
1.5.1 THE SIMPLEST LEARNING ALGORITHMS FOR FEEDFORWARD NETWORKS 10
1.5.2 LEARNING ALGORITHMS FOR RECURRENT NETWORKS 13
1.5.3 LEARNING, FUNCTION APPROXIMATION, AND SUPPORT VECTOR MACHINES 16
1.5.4 STATISTICAL THEORY OF LEARNING 17
1.6 OSCILLATORY NEURAL NETWORKS AND SYNCHRONIZATION 18
1.6.1 SYNCHRONOUS OSCILLATIONS OF NEURAL ACTIVITY IN THE BRAIN AND
NEURAL
OSCILLATORS 18
1.6.2 SYNCHRONIZABLE OSCILLATORY NETWORKS 20
1.6.3 NETWORKS OF PULSED NEURONS 22
1.6.4 SIGNAL PROCESSING AND COMMUNICATION VIA CHAOS
SYNCHRONIZATION 23
1.7 COMPLICATED NETWORKS 26
1.8 MULTI-AGENT SYSTEMS 28
1.8.1 MULTI-AGENT MODELING 28
1.8.2 REINFORCEMENT LEARNING FOR MULTI-AGENT SYSTEMS 29
1.9 WIRELESS NETWORKS AND COGNITIVE DYNAMICAL SYSTEMS 29
1.10 QUANTUM AND CLASSICAL QUANTUM-INSPIRED PARALLEL COMPUTATIONAL
ALGORITHMS 32
1.10.1 PHOTONIC ONE-WAY QUANTUM COMPUTATIONS 32
1.10.2 QUANTUM-INSPIRED NEURAL NETWORKS AND EVOLUTIONARY ALGORITHMS 33
2 NEURAL AND OSCILLATORY NETWORKS OF ASSOCIATIVE MEMORY 39
2.1 NEURAL NETWORKS OF ASSOCIATIVE MEMORY 39
2.1.1 TYPES OF ASSOCIATIVE MEMORY NETWORKS 39
2.1.2 RANDOM NEURAL NETWORKS AND THE STATISTICAL MACRODYNAMICS
APPROACH 41
2.1.3 MACRODYNAMICAL APPROACH FOR ASSOCIATIVE MEMORY NETWORKS
2.1.4 MACRODYNAMICAL ANALYSIS OF THE MEMORY RETRIEVAL PROCESS *
HTTP://D-NB.INFO/1032207337
X
CONTENTS
2.2 OSCILLATORY NETWORKS OF ASSOCIATIVE MEMORY 51
2.2.1 PROBLEM OF THE DESIGN OF OSCILLATORY ASSOCIATIVE MEMORY
NETWORKS 51
2.2.2 SYSTEMS OF GLOBALLY HOMOGENEOUSLY COUPLED LIMIT CYCLE
OSCILLATORS 53
2.2.3 ASSOCIATIVE MEMORY NETWORKS OF LIMIT-CYCLE OSCILLATORS 58
2.2.4 OSCILLATORY MEDIA RELATED TO NETWORKS OF LIMIT CYCLE OSCILLATORS
67
2.2.5 ASSOCIATIVE MEMORY NETWORKS OF COMPLEX-VALUED NEURONS 70
3 OSCILLATORY NETWORKS FOR MODELING THE BRAIN STRUCTURES PERFORMANCE 75
3.1 MOTIVATIONS FOR OSCILLATORY NETWORK MODELING 75
3.2 OSCILLATORY NETWORK MODELS FOR THE OLFACTORY AND AUDITORY BRAIN
SYSTEMS 75
3.2.1 SYSTEM OF TWO COUPLED OSCILLATORY NETWORKS FOR MODELING THE
OLFACTORY
BRAIN SYSTEM FUNCTIONING 75
3.2.2 OSCILLATORY NETWORK APPROACH TO SEGMENTATION OF MIXED INTERFERING
ACOUSTIC STREAMS 78
3.3 OSCILLATORY NETWORK MODELS FOR VISUAL IMAGE PROCESSING TASKS 80
3.3.1 OSCILLATORY MODEL BY MALSBURG AND BUHMANN 80
3.3.2 MODEL LEGION BY WANG AND TERMAN 81
3.3.3 THREE-DIMENSIONAL COLUMNAR NEURAL NETWORK MODEL BY LI 83
3.4 PURE OSCILLATORY NETWORK MODEL FOR IMAGE PROCESSING TASKS 85
3.4.1 KNOWN DATA ON THE BRAIN VISUAL CORTEX TAKEN INTO ACCOUNT IN THE
OSCILLATORY NETWORK MODEL 86
3.4.2 THREE-DIMENSIONAL OSCILLATORY NETWORK OF COLUMNAR ARCHITECTURE 87
3.4.3 BIOLOGICALLY INSPIRED MODEL OF SINGLE NETWORK OSCILLATOR 88
3.4.4 SELF-ORGANIZED DYNAMICAL NETWORK COUPLING 90
3.4.5 REDUCED TWO-DIMENSIONAL OSCILLATORY NETWORK 91
3.4.6 BRIGHTNESS IMAGE SEGMENTATION VIA THE REDUCED OSCILLATORY
NETWORK 92
3.4.7 TEXTURE SEGMENTATION AND CONTOUR INTEGRATION 95
3.4.8 COMPARISON OF THE MODEL WITH OTHER OSCILLATORY NETWORK MODELS 96
3.5 OSCILLATORY NETWORK MODELS INCLUDING VISUAL ATTENTION 98
3.5.1 OSCILLATORY MODEL BY LABBI, MILANESE, AND BOSCH 98
3.5.2 OSCILLATORY NEURAL NETWORK MODEL BY BORISYUK AND KAZANOVICH 99
4 IMAGE PROCESSING BASED ON THE OSCILLATORY NETWORK MODEL 103
4.1 PROBLEMS OF IMAGE SEGMENTATION AND TRADITIONAL METHODS OF THEIR
SOLUTION 103
4.1.1 DIGITAL IMAGES AND METHODS OF IMAGE ANALYSIS 103
4.1.2 IMAGE SEGMENTATION PROBLEMS AND THE EXAMPLES OF THEIR SOLUTION VIA
TRADITIONAL METHODS OF COMPUTER VISION 106
CONTENTS
XI
4.1.3 NEUROMORPHIC METHODS OF IMAGE PROCESSING 108
4.2 OSCILLATORY NETWORK MODEL DESCRIPTION 109
4.2.1 NETWORK ARCHITECTURE AND GOVERNING DYNAMICAL SYSTEM 109
4.2.2 MODIFIED MODEL OF NETWORK OSCILLATOR 110
4.2.3 MODIFIED PRINCIPLES OF NETWORK COUPLING 112
4.2.4 NETWORK PERFORMANCE AND MODEL CAPABILITIES 113
4.2.5 IMAGE FRAGMENT SEPARATION FROM A VISUAL SCENE 118
4.3 RELATION OF THE OSCILLATORY NETWORK METHOD TO OTHER APPROACHES 121
4.3.1 RELATION OF THE MODEL TO CONTROLLABLE DYNAMICAL SYSTEMS 121
4.3.2 RELATION OF THE MODEL TO MULTI-AGENT SYSTEMS 122
4.4 HARDWARE IMPLEMENTATION OF OSCILLATORY NETWORKS 123
4.5 CODE PROVIDING COMPUTER EXPERIMENTS ON IMAGE PROCESSING 124
5 PARALLEL INFORMATION PROCESSING AND PHOTON ECHO 127
5.1 PROPERTIES OF THE PHOTON ECHO EFFECT 127
5.2 TIME PROCESSING OF OPTICAL SIGNALS IN PHOTON ECHO PROCESSORS 129
5.3 IMPLEMENTATION OF VECTOR-MATRIX MULTIPLIER BASED ON PHOTON
ECHO 130
5.3.1 PHOTON ECHO VECTOR-MATRIX MULTIPLIER WITH SPATIAL INTEGRATION 132
5.3.2 A HOLOGRAPHIC PHOTON ECHO VMM SCHEME WITH SPATIAL
INTEGRATION 133
5.3.3 ESTIMATES OF THE MAIN TECHNICAL CHARACTERISTICS OF DIGITAL ECHO
PROCESSORS 135
5.4 OPTICAL IMPLEMENTATION OF NEURAL NETWORKS BASED ON PHOTON
ECHO 136
5.4.1 OUTER PRODUCT SCHEME FOR OPTICAL NEURAL NETWORKS 136
5.4.2 INNER PRODUCT SCHEME FOR OPTICAL NEURAL NETWORKS 138
5.4.3 INNER PRODUCT SCHEME FOR 2D ARRAY PROCESSING 139
6 STOCHASTIC OSCILLATORS FOR MODELING POLARIZED LIGHT BEAMS 142
6.1 POLARIZATION ANALYSIS OF QUASIMONOCHROMATIC LIGHT BEAMS 142
6.1.1 CLASSICAL DESCRIPTION OF PLANE ELECTROMAGNETIC WAVE 142
6.1.2 POLARIZATION ANALYSIS IN TERMS OF COHERENCE MATRIX 143
6.1.3 CLASSICAL AND QUANTUM CORRELATIONS IN OPTICS 146
6.2 MODELING SUPERPOSITIONS OF POLARIZED LIGHT BEAMS 147
6.2.1 OSCILLATORY MODEL OF POLARIZED LIGHT BEAM 147
6.2.2 MODELINGTHE ACTION OF A POLARIZER 150
6.2.3 CONSTRUCTION OF SUPERPOSITIONS OF QUASIMONOCHROMATIC LIGHT
BEAMS 152
6.3 OUTLINE OF THE DESIGN OF FEEDFORWARD NETWORK OF STOCHASTIC
OSCILLATORS 155
XII CONTENTS
SUMMARY AND SOME PERSPECTIVES 157
INDEX 159
|
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| author | Kuzmina, Margarita Manykin, Eduard Grichuk, Evgeny |
| author_facet | Kuzmina, Margarita Manykin, Eduard Grichuk, Evgeny |
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| building | Verbundindex |
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| dewey-full | 612.8 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 612 - Human physiology |
| dewey-raw | 612.8 |
| dewey-search | 612.8 |
| dewey-sort | 3612.8 |
| dewey-tens | 610 - Medicine and health |
| discipline | Informatik Medizin |
| format | Book |
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| isbn | 9783110268355 |
| language | English |
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| spelling | Kuzmina, Margarita Verfasser aut Oscillatory neural networks in problems of parallel information processing Margarita Kuzmina ; Eduard Manykin ; Evgeny Grichuk Berlin [u.a.] De Gruyter 2014 XII, 160 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Gehirn (DE-588)4019752-9 gnd rswk-swf Modell (DE-588)4039798-1 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Nervennetz (DE-588)4041638-0 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Informationsverarbeitung (DE-588)4161678-9 gnd rswk-swf Gehirn (DE-588)4019752-9 s Informationsverarbeitung (DE-588)4161678-9 s Nervennetz (DE-588)4041638-0 s Modell (DE-588)4039798-1 s Neuronales Netz (DE-588)4226127-2 s Bildverarbeitung (DE-588)4006684-8 s DE-604 Manykin, Eduard Verfasser aut Grichuk, Evgeny Verfasser aut Erscheint auch als Online-Ausgabe 978-3-11-026920-8 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027097630&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Kuzmina, Margarita Manykin, Eduard Grichuk, Evgeny Oscillatory neural networks in problems of parallel information processing Gehirn (DE-588)4019752-9 gnd Modell (DE-588)4039798-1 gnd Bildverarbeitung (DE-588)4006684-8 gnd Nervennetz (DE-588)4041638-0 gnd Neuronales Netz (DE-588)4226127-2 gnd Informationsverarbeitung (DE-588)4161678-9 gnd |
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| title | Oscillatory neural networks in problems of parallel information processing |
| title_auth | Oscillatory neural networks in problems of parallel information processing |
| title_exact_search | Oscillatory neural networks in problems of parallel information processing |
| title_full | Oscillatory neural networks in problems of parallel information processing Margarita Kuzmina ; Eduard Manykin ; Evgeny Grichuk |
| title_fullStr | Oscillatory neural networks in problems of parallel information processing Margarita Kuzmina ; Eduard Manykin ; Evgeny Grichuk |
| title_full_unstemmed | Oscillatory neural networks in problems of parallel information processing Margarita Kuzmina ; Eduard Manykin ; Evgeny Grichuk |
| title_short | Oscillatory neural networks |
| title_sort | oscillatory neural networks in problems of parallel information processing |
| title_sub | in problems of parallel information processing |
| topic | Gehirn (DE-588)4019752-9 gnd Modell (DE-588)4039798-1 gnd Bildverarbeitung (DE-588)4006684-8 gnd Nervennetz (DE-588)4041638-0 gnd Neuronales Netz (DE-588)4226127-2 gnd Informationsverarbeitung (DE-588)4161678-9 gnd |
| topic_facet | Gehirn Modell Bildverarbeitung Nervennetz Neuronales Netz Informationsverarbeitung |
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