Verfügbarkeit: Self-organization and associative memory

Self-organization and associative memory:

Gespeichert in:

Bibliographische Detailangaben
Beteilige Person:	Kohonen, Teuvo (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Berlin u.a. Springer 1989
Ausgabe:	3. ed.
Schriftenreihe:	Springer series in information sciences 8
Schlagwörter:	Associative storage Memory Self-organizing systems Selbstbestimmung Modell Assoziatives Gedächtnis Selbst organisierendes System Psychologie Selbsteinstellendes System Nervennetz Künstliche Intelligenz Assoziativspeicher Mathematische Psychologie Gedächtnis
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001581972&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Beschreibung:	Literaturverz. S. 285 - 299
Umfang:	XV, 312 S. Ill., graph. Darst.
ISBN:	3540513876 0387513876

Internformat

MARC


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Datensatz im Suchindex

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adam_text	CONTENTS 1. VARIOUS ASPECTS OF MEMORY 1 1.1 ON THE PURPOSE AND NATURE OF BIOLOGICAL MEMORY 1 1.1.1 SOME FUNDAMENTAL CONCEPTS 1 1.1.2 THE CLASSICAL LAWS OF ASSOCIATION 3 1.1.3 ON DIFFERENT LEVELS OF MODELLING 4 1.2 QUESTIONS CONCERNING THE FUNDAMENTAL MECHANISMS OF MEMORY 4 1.2.1 WHERE DO THE SIGNALS RELATING TO MEMORY ACT UPON? ... 5 1.2.2 WHAT KIND OF ENCODING IS USED FOR NEURAL SIGNALS? 6 1.2.3 WHAT ARE THE VARIABLE MEMORY ELEMENTS? 7 1.2.4 HOW ARE NEURAL SIGNALS ADDRESSED IN MEMORY? 8 1.3 ELEMENTARY OPERATIONS IMPLEMENTED BY ASSOCIATIVE MEMORY .. 14 1.3.1 ASSOCIATIVE RECALL 14 1.3.2 PRODUCTION OF SEQUENCES FROM THE ASSOCIATIVE MEMORY .. 16 1.3.3 ON THE MEANING OF BACKGROUND AND CONTEXT 20 1.4 MORE ABSTRACT ASPECTS OF MEMORY ,, 21 1.4.1 THE PROBLEM OF INFINITE-STATE MEMORY 21 1.4.2 INVARIANT REPRESENTATIONS 22 1.4.3 SYMBOLIC REPRESENTATIONS 24 1.4.4 VIRTUAL IMAGES 25 1.4.5 THE LOGIC OF STORED KNOWLEDGE 27 2. PATTERN MATHEMATICS 30 2.1 MATHEMATICAL NOTATIONS AND METHODS 30 2.1.1 VECTOR SPACE CONCEPTS 30 2.1.2 MATRIX NOTATIONS 41 2.1.3 FURTHER PROPERTIES OF MATRICES 44 2.1.4 MATRIX EQUATIONS 48 2.1.5 PROJECTION OPERATORS 54 2.1.6 ON MATRIX DIFFERENTIAL CALCULUS 57 2.2 DISTANCE MEASURES FOR PATTERNS 59 XII CONTENTS 2.2.1 MEASURES OF SIMILARITY AND DISTANCE IN VECTOR SPACES .... 59 2.2.2 MEASURES OF SIMILARITY AND DISTANCE BETWEEN SYMBOL STRINGS 63 2.2.3 MORE ACCURATE DISTANCE MEASURES FOR TEXT 66 3. CLASSICAL LEARNING SYSTEMS 68 3.1 THE ADAPTIVE LINEAR ELEMENT (ADALINE) 69 3.1.1 DESCRIPTION OF ADAPTATION BY THE STOCHASTIC APPROXIMATION 71 3.2 THE PERCEPTRON 72 3.3 THE LEARNING MATRIX 74 3.4 PHYSICAL REALIZATION OF ADAPTIVE WEIGHTS 77 3.4.1 PERCEPTRON AND ADALINE 77 3.4.2 CLASSICAL CONDITIONING 78 3.4.3 CONJUNCTION LEARNING SWITCHES 80 3.4.4 DIGITAL REPRESENTATION OF ADAPTIVE CIRCUITS 80 3.4.5 BIOLOGICAL COMPONENTS 81 4. A NEW APPROACH TO ADAPTIVE FILTERS 82 4.1 SURVEY OF SOME NECESSARY FUNCTIONS 82 4.2 ON THE TRANSFER FUNCTION OF THE NEURON 84 4.3 MODELS FOR BASIC ADAPTIVE UNITS 90 4.3.1 ON THE LINEARIZATION OF THE BASIC UNIT 90 4.3.2 VARIOUS CASES OF ADAPTATION LAWS 91 4.3.3 TWO LIMIT THEOREMS 98 4.3.4 THE NOVELTY DETECTOR /. 101 4.4 ADAPTIVE FEEDBACK NETWORKS 104 4.4.1 THE AUTOCORRELATION MATRIX MEMORY 105 4.4.2 THE NOVELTY FILTER 109 5. SELF-ORGANIZING FEATURE MAPS 119 5.1 ON THE FEATURE MAPS OF THE BRAIN 119 5.2 FORMATION OF LOCALIZED RESPONSES BY LATERAL FEEDBACK 122 5.3 COMPUTATIONAL SIMPLIFICATION OF THE PROCESS 127 5.3.1 DEFINITION OF THE TOPOLOGY-PRESERVING MAPPING 127 5.3.2 A SIMPLE TWO-DIMENSIONAL SELF-ORGANIZING SYSTEM 130 5.4 DEMONSTRATIONS OF SIMPLE TOPOLOGY-PRESERVING MAPPINGS .... 133 5.4.1 IMAGES OF VARIOUS DISTRIBUTIONS OF INPUT VECTORS 133 5.4.2 THE MAGIC TV 137 5.4.3 MAPPING BY A FEELER MECHANISM 139 5.5 TONOTOPIC MAP 140 CONTENTS XIII 5.6 FORMATION OF HIERARCHICAL REPRESENTATIONS 141 5.6.1 TAXONOMY EXAMPLE 141 5.6.2 PHONEME MAP 142 5.7 MATHEMATICAL TREATMENT OF SELF-ORGANIZATION 143 5.7.1 ORDERING OF WEIGHTS 144 5.7.2 CONVERGENCE PHASE 150 5.8 AUTOMATIC SELECTION OF FEATURE DIMENSIONS 155 6. OPTIMAL ASSOCIATIVE MAPPINGS 158 6.1 TRANSFER FUNCTION OF AN ASSOCIATIVE NETWORK 159 6.2 AUTOASSOCIATIVE RECALL AS AN ORTHOGONAL PROJECTION 160 6.2.1 ORTHOGONAL PROJECTIONS 160 6.2.2 ERROR-CORRECTING PROPERTIES OF PROJECTIONS 161 6.3 THE NOVELTY FILTER 163 6.3.1 TWO EXAMPLES OF NOVELTY FILTER 163 6.3.2 NOVELTY FILTER AS AN AUTOASSOCIATIVE MEMORY 165 6.4 AUTOASSOCIATIVE ENCODING 165 6.4.1 AN EXAMPLE OF AUTOASSOCIATIVE ENCODING 166 6.5 OPTIMAL ASSOCIATIVE MAPPINGS 167 6.5.1 THE OPTIMAL LINEAR ASSOCIATIVE MAPPING 168 6.5.2 OPTIMAL NONLINEAR ASSOCIATIVE MAPPINGS 172 6.6 RELATIONSHIP BETWEEN ASSOCIATIVE MAPPING, LINEAR REGRESSION, AND LINEAR ESTIMATION 175 6.6.1 RELATIONSHIP OF THE ASSOCIATIVE MAPPING TO LINEAR REGRESSION 175 6.6.2 RELATIONSHIP OF THE REGRESSION SOLUTION TO THE LINEAR ESTIMATOR 176 6.7 RECURSIVE COMPUTATION OF THE OPTIMAL ASSOCIATIVE MAPPING ... 177 6.7.1 LINEAR CORRECTIVE ALGORITHMS 178 6.7.2 BEST EXACT SOLUTION (GRADIENT PROJECTION) 179 6.7.3 BEST APPROXIMATE SOLUTION (REGRESSION) 180 6.7.4 RECURSIVE SOLUTION IN THE GENERAL CASE 182 6.8 SPECIAL CASES 183 6.8.1 THE CORRELATION MATRIX MEMORY 183 6.8.2 RELATIONSHIP BETWEEN CONDITIONAL AVERAGES AND OPTIMAL ESTIMATOR 184 7. PATTERN RECOGNITION 185 7.1 DISCRIMINANT FUNCTIONS 185 7.2 STATISTICAL FORMULATION OF PATTERN CLASSIFICATION 187 7.3 COMPARISON METHODS 190 XIV CONTENTS 7.4 THE SUBSPACE METHODS OF CLASSIFICATION 192 7.4.1 THE BASIC SUBSPACE METHOD 192 7.4.2 THE LEARNING SUBSPACE METHOD (LSM) 193 7.5 LEARNING VECTOR QUANTIZATION 199 7.6 FEATURE EXTRACTION 202 7.7 CLUSTERING 203 7.7.1 SIMPLE CLUSTERING (OPTIMIZATION APPROACH) 204 7.7.2 HIERARCHICAL CLUSTERING (TAXONOMY APPROACH) 205 7.8 STRUCTURAL PATTERN RECOGNITION METHODS 206 8. MORE ABOUT BIOLOGICAL MEMORY 210 8.1 PHYSIOLOGICAL FOUNDATIONS OF MEMORY 210 8.1.1 ON THE MECHANISMS OF MEMORY IN BIOLOGICAL SYSTEMS ... 210 8.1.2 STRUCTURAL FEATURES OF SOME NEURAL NETWORKS 213 8.1.3 FUNCTIONAL FEATURES OF NEURONS 218 8.1.4 MODELLING OF THE SYNAPTIC PLASTICITY 222 8.1.5 CAN THE MEMORY CAPACITY ENSUE FROM SYNAPTIC CHANGES? 227 8.2 THE UNIFIED CORTICAL MEMORY MODEL 230 8.2.1 THE LAMINAR NETWORK ORGANIZATION 230 8.2.2 ON THE ROLES OF INTERNEURONS 232 8.2.3 REPRESENTATION OF KNOWLEDGE OVER MEMORY FIELDS 233 8.2.4 SELF-CONTROLLED OPERATION OF MEMORY 237 8.3 COLLATERAL READING 239 8.3.1 PHYSIOLOGICAL RESULTS RELEVANT TO MODELLING 239 8.3.2 RELATED MODELLING 240 .7 . / 9. NOTES ON NEURAL COMPUTING 241 9.1 FIRST THEORETICAL VIEWS OF NEURAL NETWORKS 241 9.2 MOTIVES FOR THE NEURAL COMPUTING RESEARCH 242 9.3 WHAT COULD THE PURPOSE OF THE NEURAL NETWORKS BE? 245 9.4 DEFINITIONS OF ARTIFICIAL NEURAL COMPUTING AND GENERAL NOTES ON NEURAL MODELLING 249 9.5 ARE THE BIOLOGICAL NEURAL FUNCTIONS LOCALIZED OR DISTRIBUTED? 253 9.6 IS NOHLINEARITY ESSENTIAL TO NEURAL COMPUTING? 255 9.7 CHARACTERISTIC DIFFERENCES BETWEEN NEURAL AND DIGITAL COMPUTERS 259 9.7.1 THE DEGREE OF PARALLELISM OF THE NEURAL NETWORKS IS STILL HIGHER THAN THAT OF ANY MASSIVELY PARALLEL DIGITAL COMPUTER 259 9.7.2 WHY THE NEURAL SIGNALS CANNOT BE APPROXIMATED BY BOOLEAN VARIABLES 261 CONTENTS XV 9.7.3 THE NEURAL CIRCUITS DO NOT IMPLEMENT FINITE AUTOMATA 261 9.7.4 UNDUE VIEWS OF THE LOGIC EQUIVALENCE OF THE BRAIN AND COMPUTERS ON A HIGH LEVEL 263 9.8 CONNECTIONIST MODELS 264 9.9 HOW CAN THE NEURAL COMPUTERS BE PROGRAMMED? 267 10. OPTICAL ASSOCIATIVE MEMORIES 26 9 10.1 NONHOLOGRAPHIC METHODS 269 10.2 GENERAL ASPECTS OF HOLOGRAPHIC MEMORIES 271 10.3 A SIMPLE PRINCIPLE OF HOLOGRAPHIC ASSOCIATIVE MEMORY 273 10.4 ADDRESSING IN HOLOGRAPHIC MEMORIES 275 10.5 RECENT ADVANCES OF OPTICAL ASSOCIATIVE MEMORIES 280 BIBLIOGRAPHY ON PATTERN RECOGNITION 285 REFERENCES 289 SUBJECT INDEX 301
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id	DE-604.BV002438950
illustrated	Illustrated
indexdate	2024-12-20T07:50:39Z
institution	BVB
isbn	3540513876 0387513876
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-001581972
oclc_num	20015322
open_access_boolean
owner	DE-91G DE-BY-TUM DE-91 DE-BY-TUM DE-384 DE-19 DE-BY-UBM DE-473 DE-BY-UBG DE-739 DE-355 DE-BY-UBR DE-20 DE-824 DE-N2 DE-29T DE-92 DE-83 DE-188
owner_facet	DE-91G DE-BY-TUM DE-91 DE-BY-TUM DE-384 DE-19 DE-BY-UBM DE-473 DE-BY-UBG DE-739 DE-355 DE-BY-UBR DE-20 DE-824 DE-N2 DE-29T DE-92 DE-83 DE-188
physical	XV, 312 S. Ill., graph. Darst.
publishDate	1989
publishDateSearch	1989
publishDateSort	1989
publisher	Springer
record_format	marc
series	Springer series in information sciences
series2	Springer series in information sciences
spellingShingle	Kohonen, Teuvo Self-organization and associative memory Springer series in information sciences Associative storage Memory Self-organizing systems Selbstbestimmung (DE-588)4135889-2 gnd Modell (DE-588)4039798-1 gnd Assoziatives Gedächtnis (DE-588)4290792-5 gnd Selbst organisierendes System (DE-588)4054424-2 gnd Psychologie (DE-588)4047704-6 gnd Selbsteinstellendes System (DE-588)4054398-5 gnd Nervennetz (DE-588)4041638-0 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Assoziativspeicher (DE-588)4124575-1 gnd Mathematische Psychologie (DE-588)4126558-0 gnd Gedächtnis (DE-588)4019614-8 gnd
subject_GND	(DE-588)4135889-2 (DE-588)4039798-1 (DE-588)4290792-5 (DE-588)4054424-2 (DE-588)4047704-6 (DE-588)4054398-5 (DE-588)4041638-0 (DE-588)4033447-8 (DE-588)4124575-1 (DE-588)4126558-0 (DE-588)4019614-8
title	Self-organization and associative memory
title_auth	Self-organization and associative memory
title_exact_search	Self-organization and associative memory
title_full	Self-organization and associative memory Teuvo Kohonen
title_fullStr	Self-organization and associative memory Teuvo Kohonen
title_full_unstemmed	Self-organization and associative memory Teuvo Kohonen
title_short	Self-organization and associative memory
title_sort	self organization and associative memory
topic	Associative storage Memory Self-organizing systems Selbstbestimmung (DE-588)4135889-2 gnd Modell (DE-588)4039798-1 gnd Assoziatives Gedächtnis (DE-588)4290792-5 gnd Selbst organisierendes System (DE-588)4054424-2 gnd Psychologie (DE-588)4047704-6 gnd Selbsteinstellendes System (DE-588)4054398-5 gnd Nervennetz (DE-588)4041638-0 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Assoziativspeicher (DE-588)4124575-1 gnd Mathematische Psychologie (DE-588)4126558-0 gnd Gedächtnis (DE-588)4019614-8 gnd
topic_facet	Associative storage Memory Self-organizing systems Selbstbestimmung Modell Assoziatives Gedächtnis Selbst organisierendes System Psychologie Selbsteinstellendes System Nervennetz Künstliche Intelligenz Assoziativspeicher Mathematische Psychologie Gedächtnis
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001581972&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV000008063
work_keys_str_mv	AT kohonenteuvo selforganizationandassociativememory

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