The handbook of brain theory and neural networks:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Mass. [u.a.]
MIT Press
2003
|
| Ausgabe: | 2. ed. |
| Schriftenreihe: | A Bradford book
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVII, 1290 S. Ill., graph. Darst. |
| ISBN: | 0262011972 |
Internformat
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| 245 | 1 | 0 | |a The handbook of brain theory and neural networks |c ed. by Michael A. Arbib |
| 246 | 1 | 3 | |a Brain theory and neural networks |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Cambridge, Mass. [u.a.] |b MIT Press |c 2003 | |
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Datensatz im Suchindex
| _version_ | 1804129581076054016 |
|---|---|
| adam_text | Preface to the Second Edition ix
Preface to the First Edition xi
How to Use This Book xv
Part I: Background: The Elements of
Brain Theory and Neural Networks 1
How to Use Part I 3
1.1. Introducing the Neuron 3
The Diversity of Receptors 4
Basic Properties of Neurons 4
Receptors and Effectors 7
Neural Models 7
More Detailed Properties of Neurons 9
1.2. Levels and Styles of Analysis 10
A Historical Fragment 10
Brains, Machines, and Minds 11
Levels of Analysis 12
Schema Theory 13
1.3. Dynamics and Adaptation in Neural Networks 15
Dynamic Systems 15
Continuous Time Systems 15
Discrete Time Systems 16
Stability, Limit Cycles, and Chaos 16
HopfieldNets 17
Adaptation in Dynamic Systems 18
Adaptive Control 18
Pattern Recognition 18
Associative Memory 19
Learning Rules 19
Hebbian Plasticity and Network
Self Organization 19
Perceptrons 20
Network Complexity 20
Gradient Descent and Credit Assignment 21
Backpropagation 21
A Cautionary Note 22
Envoi 23
Part II: Road Maps: A Guided Tour of
Brain Theory and Neural Networks 25
How to Use Part II 27
II. 1. The Meta Map 27
II.2. Grounding Models of Neurons and Networks 29
Grounding Models of Neurons 29
Grounding Models of Networks 31
Contents
11.3. Brain, Behavior, and Cognition 31
Neuroethology and Evolution 31
Mammalian Brain Regions 34
Cognitive Neuroscience 37
11.4. Psychology, Linguistics, and
Artificial Intelligence 40
Psychology 40
Linguistics and Speech Processing 42
Artificial Intelligence 44
11.5. Biological Neurons and Networks 47
Biological Neurons and Synapses 47
Neural Plasticity 49
Neural Coding 52
Biological Networks 54
11.6. Dynamics and Learning in Artificial Networks 55
Dynamic Systems 55
Learning in Artificial Networks 58
Computability and Complexity 64
11.7. Sensory Systems 65
Vision 65
Other Sensory Systems 70
11.8. Motor Systems 71
Robotics and Control Theory 71
Motor Pattern Generators 73
Mammalian Motor Control 74
11.9. Applications, Implementations, and Analysis 77
Applications 77
Implementation and Analysis 78
Part III: Articles 81
The articles in Part III are arranged alphabetically by title.
To retrieve articles by author, turn to the contributors list,
which begins on page 1241.
Action Monitoring and Forward Control of
Movements 83
Activity Dependent Regulation of Neuronal
Conductances 85
Adaptive Resonance Theory 87
Adaptive Spike Coding 90
Amplification, Attenuation, and Integration 94
Analog Neural Nets: Computational Power 97
Analog VLSI Implementations of Neural Networks 101
Analogy Based Reasoning and Metaphor 106
Arm and Hand Movement Control 110
Artifical Intelligence and Neural Networks 113
Associative Networks 117
Auditory Cortex 122
Auditory Periphery and Cochlear Nucleus 127
Auditory Scene Analysis 132
Axonal Modeling 135
Axonal Path Finding 140
Backpropagation: General Principles 144
Basal Ganglia 147
Bayesian Methods and Neural Networks 151
Bayesian Networks 157
Biologically Inspired Robotics 160
Biophysical Mechanisms in Neuronal Modeling 164
Biophysical Mosaic of the Neuron 170
Brain Signal Analysis 175
Brain Computer Interfaces 178
Canonical Neural Models 181
Cerebellum and Conditioning 187
Cerebellum and Motor Control 190
Cerebellum: Neural Plasticity 196
Chains of Oscillators in Motor and Sensory Systems 201
Chaos in Biological Systems 205
Chaos in Neural Systems 208
Cognitive Development 212
Cognitive Maps 216
Cognitive Modeling: Psychology and Connectionism 219
Collective Behavior of Coupled Oscillators 223
Collicular Visuomotor Transformations for Gaze
Control 226
Color Perception 230
Command Neurons and Command Systems 233
Competitive Learning 238
Competitive Queuing for Planning and Serial
Performance 241
Compositionality in Neural Systems 244
Computing with Attractors 248
Concept Learning 252
Conditioning 256
Connectionist and Symbolic Representations 260
Consciousness, Neural Models of 263
Constituency and Recursion in Language 267
Contour and Surface Perception 271
Convolutional Networks for Images, Speech, and Time
Series 276
Cooperative Phenomena 279
Cortical Hebbian Modules 285
Cortical Memory 290
Cortical Population Dynamics and Psychophysics 294
Covariance Structural Equation Modeling 300
Crustacean Stomatogastric System 304
Data Clustering and Learning 308
Databases for Neuroscience 312
Decision Support Systems and Expert Systems 316
Dendritic Learning 320
Dendritic Processing 324
Dendritic Spines 332
Development of Retinotectal Maps 335
Developmental Disorders 339
Diffusion Models of Neuron Activity 343
Digital VLSI for Neural Networks 349
Directional Selectivity 353
Dissociations Between Visual Processing Modes 358
Dopamine, Roles of 361
Dynamic Link Architecture 365
Dynamic Remapping 368
Dynamics and Bifurcation in Neural Nets 372
Dynamics of Association and Recall 377
Echolocation: Cochleotopic and Computational Maps
381
EEG and MEG Analysis 387
Electrolocation 391
Embodied Cognition 395
Emotional Circuits 398
Energy Functionals for Neural Networks 402
Ensemble Learning 405
Equilibrium Point Hypothesis 409
Event Related Potentials 412
Evolution and Learning in Neural Networks 415
Evolution of Artificial Neural Networks 418
Evolution of Genetic Networks 421
Evolution of the Ancestral Vertebrate Brain 426
Eye Hand Coordination in Reaching Movements 431
Face Recognition: Neurophysiology and Neural
Technology 434
Face Recognition: Psychology and Connectionism 438
Fast Visual Processing 441
Feature Analysis 444
Filtering, Adaptive 449
Forecasting 453
Gabor Wavelets and Statistical Pattern Recognition 457
Gait Transitions 463
Gaussian Processes 466
Generalization and Regularization in Nonlinear Learning
Systems 470
GENESIS Simulation System 475
Geometrical Principles in Motor Control 476
Global Visual Pattern Extraction 482
Graphical Models: Parameter Learning 486
Graphical Models: Probabilistic Inference 490
Graphical Models: Structure Learning 496
Grasping Movements: Visuomotor Transformations 501
Habituation 504
Half Center Oscillators Underlying Rhythmic
Movements 507
Hebbian Learning and Neuronal Regulation 511
Hebbian Synaptic Plasticity 515
Helmholtz Machines and Sleep Wake Learning 522
Hemispheric Interactions and Specialization 525
Hidden Markov Models 528
Hippocampal Rhythm Generation 533
Hippocampus: Spatial Models 539
Hybrid Connectionist/Symbolic Systems 543
Identification and Control 547
Imaging the Grammatical Brain 551
Imaging the Motor Brain 556
Imaging the Visual Brain 562
Imitation 566
Independent Component Analysis 569
Information Theory and Visual Plasticity 575
Integrate and Fire Neurons and Networks 577
Invertebrate Models of Learning: Aplysia and
Hermissenda 581
Ion Channels: Keys to Neuronal Specialization 585
Kalman Filtering: Neural Implications 590
Laminar Cortical Architecture in Visual Perception 594
Language Acquisition 600
Language Evolution and Change 604
Language Evolution: The Mirror System Hypothesis 606
Language Processing 612
Layered Computation in Neural Networks 616
Learning and Generalization: Theoretical Bounds 619
Learning and Statistical Inference 624
Learning Network Topology 628
Learning Vector Quantization 631
Lesioned Networks as Models of Neuropsychological
Deficits 635
Limb Geometry, Neural Control 638
Localized Versus Distributed Representations 643
Locomotion, Invertebrate 646
Locomotion, Vertebrate 649
Locust Flight: Components and Mechanisms in the
Motor 654
Markov Random Field Models in Image Processing 657
Memory Based Reasoning 661
Minimum Description Length Analysis 662
Model Validation 666
Modular and Hierarchical Learning Systems 669
Motion Perception: Elementary Mechanisms 672
Motion Perception: Navigation 676
Motivation 680
Motoneuron Recruitment 683
Motor Control, Biological and Theoretical 686
Motor Cortex: Coding and Decoding of Directional
Operations 690
Motor Pattern Generation 696
Contents vii
Motor Primitives 701
Motor Theories of Perception 705
Multiagent Systems 707
Muscle Models 711
Neocognitron: A Model for Visual Pattern
Recognition 715
Neocortex: Basic Neuron Types 719
Neocortex: Chemical and Electrical Synapses 725
Neural Automata and Analog Computational Complexity
729
Neuroanatomy in a Computational Perspective 733
Neuroethology, Computational 737
Neuroinformatics 741
Neurolinguistics 745
Neurological and Psychiatric Disorders 751
Neuromanifolds and Information Geometry 754
Neuromodulation in Invertebrate Nervous Systems 757
Neuromodulation in Mammalian Nervous Systems 761
Neuromorphic VLSI Circuits and Systems 765
NEURON Simulation Environment 769
Neuropsychological Impairments 773
Neurosimulation: Tools and Resources 776
NMDA Receptors: Synaptic, Cellular, and Network
Models 781
NSL Neural Simulation Language 784
Object Recognition 788
Object Recognition, Neurophysiology 792
Object Structure, Visual Processing 797
Ocular Dominance and Orientation Columns 801
Olfactory Bulb 806
Olfactory Cortex 810
Optimal Sensory Encoding 815
Optimality Theory in Linguistics 819
Optimization, Neural 822
Optimization Principles in Motor Control 827
Orientation Selectivity 831
Oscillatory and Bursting Properties of Neurons 835
PAC Learning and Neural Networks 840
Pain Networks 843
Past Tense Learning 848
Pattern Formation, Biological 851
Pattern Formation, Neural 859
Pattern Recognition 864
Perception of Three Dimensional Structure 868
Perceptrons, Adalines, and Backpropagation 871
Perspective on Neuron Model Complexity 877
Phase Plane Analysis of Neural Nets 881
Philosophical Issues in Brain Theory and
Connectionism 886
Photonic Implementations of Neurobiologically Inspired
Networks 889
Post Hebbian Learning Algorithms 898
Potential Fields and Neural Networks 901
Prefrontal Cortex in Temporal Organization of Action
905
Principal Component Analysis 910
Probabilistic Regularization Methods for Low Level
Vision 913
Programmable Neurocomputing Systems 916
Prosthetics, Motor Control 919
Prosthetics, Neural 923
Prosthetics, Sensory Systems 926
Pursuit Eye Movements 929
Q Learning for Robots 934
Radial Basis Function Networks 937
Rate Coding and Signal Processing 941
Reaching Movements: Implications for Computational
Models 945
Reactive Robotic Systems 949
Reading 951
Recurrent Networks: Learning Algorithms 955
Recurrent Networks: Neurophysiological Modeling 960
Reinforcement Learning 963
Reinforcement Learning in Motor Control 968
Respiratory Rhythm Generation 972
Retina 975
Robot Arm Control 979
Robot Learning 983
Robot Navigation 987
Rodent Head Direction System 990
Schema Theory 993
Scratch Reflex 999
Self Organization and the Brain 1002
Self Organizing Feature Maps 1005
Semantic Networks 1010
Sensor Fusion 1014
Sensorimotor Interactions and Central Pattern
Generators 1016
Sensorimotor Learning 1020
Sensory Coding and Information Transmission 1023
Sequence Learning 1027
Short Term Memory 1030
Silicon Neurons 1034
Simulated Annealing and Boltzmann Machines 1039
Single Cell Models 1044
Sleep Oscillations 1049
Somatosensory System 1053
Somatotopy: Plasticity of Sensory Maps 1057
Sound Localization and Binaural Processing 1061
Sparse Coding in the Primate Cortex 1064
Speech Processing: Psycholinguistics 1068
Speech Production 1072
Speech Recognition Technology 1076
Spiking Neurons, Computation with 1080
Spinal Cord of Lamprey: Generation of Locomotor
Patterns 1084
Statistical Mechanics of Generalization 1087
Statistical Mechanics of Neural Networks 1090
Statistical Mechanics of On line Learning and
Generalization 1095
Statistical Parametric Mapping of Cortical Activity
Patterns 1098
Stereo Correspondence 1104
Stochastic Approximation and Efficient Learning 1108
Stochastic Resonance 1112
Structured Connectionist Models 1116
Support Vector Machines 1119
Synaptic Interactions 1126
Synaptic Noise and Chaos in Vertebrate Neurons 1130
Synaptic Transmission 1133
Synchronization, Binding and Expectancy 1136
Synfire Chains 1143
Synthetic Functional Brain Mapping 1146
Systematicity of Generalizations in Connectionist
Networks 1151
Temporal Dynamics of Biological Synapses 1156
Temporal Integration in Recurrent Microcircuits 1159
Temporal Pattern Processing 1163
Temporal Sequences: Learning and Global Analysis 1167
Tensor Voting and Visual Segmentation 1171
Thalamus 1176
Universal Approximators 1180
Unsupervised Learning with Global Objective
Functions 1183
Vapnik Chervonenkis Dimension of Neural Networks
1188
Vestibulo Ocular Reflex 1192
Visual Attention 1196
Visual Cortex: Anatomical Structure and Models of
Function 1202
Visual Course Control in Flies 1205
Visual Scene Perception, Neurophysiology 1210
Visual Scene Segmentation 1215
Visuomotor Coordination in Frog and Toad 1219
Visuomotor Coordination in Salamander 1225
Winner Take All Networks 1228
Ying Yang Learning 1231
Editorial Advisory Board 1239
Contributors 1241
Index 1255
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| discipline | Biologie Informatik Psychologie Elektrotechnik Philosophie Medizin |
| edition | 2. ed. |
| format | Book |
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| genre | (DE-588)4066724-8 Wörterbuch gnd-content |
| genre_facet | Wörterbuch |
| id | DE-604.BV014807631 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T19:07:24Z |
| institution | BVB |
| isbn | 0262011972 |
| language | English |
| lccn | 2002038664 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-010019678 |
| oclc_num | 50761220 |
| open_access_boolean | |
| owner | DE-29 DE-384 DE-355 DE-BY-UBR DE-91G DE-BY-TUM DE-20 DE-19 DE-BY-UBM DE-11 DE-188 DE-573 |
| owner_facet | DE-29 DE-384 DE-355 DE-BY-UBR DE-91G DE-BY-TUM DE-20 DE-19 DE-BY-UBM DE-11 DE-188 DE-573 |
| physical | XVII, 1290 S. Ill., graph. Darst. |
| publishDate | 2003 |
| publishDateSearch | 2003 |
| publishDateSort | 2003 |
| publisher | MIT Press |
| record_format | marc |
| series2 | A Bradford book |
| spelling | The handbook of brain theory and neural networks ed. by Michael A. Arbib Brain theory and neural networks 2. ed. Cambridge, Mass. [u.a.] MIT Press 2003 XVII, 1290 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier A Bradford book Cerveau rasuqam Connectionisme gtt Neurale netwerken gtt Neurofisiologia larpcal Neurone rasuqam Redes neurais larpcal Réseau neuronal (Biologie) rasuqam Réseau neuronal (Informatique) rasuqam Réseaux neuronaux (Informatique) - Guides, manuels, etc Réseaux neuronaux (Neurobiologie) - Guides, manuels, etc Nerve Net Neural Networks (Computer) Neural networks (Computer science) Handbooks, manuals, etc Neural networks (Neurobiology) Handbooks, manuals, etc Neurons physiology Neurobiologie (DE-588)4041871-6 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Neuropsychologie (DE-588)4135740-1 gnd rswk-swf (DE-588)4066724-8 Wörterbuch gnd-content Neuronales Netz (DE-588)4226127-2 s Neuropsychologie (DE-588)4135740-1 s DE-604 DE-188 Neurobiologie (DE-588)4041871-6 s Arbib, Michael A. 1940- Sonstige (DE-588)135873517 oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010019678&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | The handbook of brain theory and neural networks Cerveau rasuqam Connectionisme gtt Neurale netwerken gtt Neurofisiologia larpcal Neurone rasuqam Redes neurais larpcal Réseau neuronal (Biologie) rasuqam Réseau neuronal (Informatique) rasuqam Réseaux neuronaux (Informatique) - Guides, manuels, etc Réseaux neuronaux (Neurobiologie) - Guides, manuels, etc Nerve Net Neural Networks (Computer) Neural networks (Computer science) Handbooks, manuals, etc Neural networks (Neurobiology) Handbooks, manuals, etc Neurons physiology Neurobiologie (DE-588)4041871-6 gnd Neuronales Netz (DE-588)4226127-2 gnd Neuropsychologie (DE-588)4135740-1 gnd |
| subject_GND | (DE-588)4041871-6 (DE-588)4226127-2 (DE-588)4135740-1 (DE-588)4066724-8 |
| title | The handbook of brain theory and neural networks |
| title_alt | Brain theory and neural networks |
| title_auth | The handbook of brain theory and neural networks |
| title_exact_search | The handbook of brain theory and neural networks |
| title_full | The handbook of brain theory and neural networks ed. by Michael A. Arbib |
| title_fullStr | The handbook of brain theory and neural networks ed. by Michael A. Arbib |
| title_full_unstemmed | The handbook of brain theory and neural networks ed. by Michael A. Arbib |
| title_short | The handbook of brain theory and neural networks |
| title_sort | the handbook of brain theory and neural networks |
| topic | Cerveau rasuqam Connectionisme gtt Neurale netwerken gtt Neurofisiologia larpcal Neurone rasuqam Redes neurais larpcal Réseau neuronal (Biologie) rasuqam Réseau neuronal (Informatique) rasuqam Réseaux neuronaux (Informatique) - Guides, manuels, etc Réseaux neuronaux (Neurobiologie) - Guides, manuels, etc Nerve Net Neural Networks (Computer) Neural networks (Computer science) Handbooks, manuals, etc Neural networks (Neurobiology) Handbooks, manuals, etc Neurons physiology Neurobiologie (DE-588)4041871-6 gnd Neuronales Netz (DE-588)4226127-2 gnd Neuropsychologie (DE-588)4135740-1 gnd |
| topic_facet | Cerveau Connectionisme Neurale netwerken Neurofisiologia Neurone Redes neurais Réseau neuronal (Biologie) Réseau neuronal (Informatique) Réseaux neuronaux (Informatique) - Guides, manuels, etc Réseaux neuronaux (Neurobiologie) - Guides, manuels, etc Nerve Net Neural Networks (Computer) Neural networks (Computer science) Handbooks, manuals, etc Neural networks (Neurobiology) Handbooks, manuals, etc Neurons physiology Neurobiologie Neuronales Netz Neuropsychologie Wörterbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010019678&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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