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| Ïîèñê ïî óêàçàòåëÿì |
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| Churchland P.S., Sejnowski T.J. — The computational brain |
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| Ïðåäìåòíûé óêàçàòåëü |
Pyramidal cells computer models of 402—403
Pyramidal cells in microcircuit 39f
Pyramidal cells network of 40f
Pyramidal cells rhythmic inhibition of 267
Pyramidal cells simulation of 404—405
Quantitative model 5—6
Quantum physics 2
Quisqualate receptors 260
Radial basis function 127—128
Radial basis function advantage of 128
Ramachandran's stereo pairs 218 219f
Random-dot stereograms see also “Dot stereograms” 194f
Random-dot stereograms activation pattern in 203
Random-dot stereograms fusion of 211—213 214f
Random-dot stereograms learning to solve 246—248
Random-dot stereograms ten-level, gray-scale 205f
Raphe nucleus, projecting neurons originating in 57
Reaction time (RT), measurement of 24—25
Real space coordinate transformation between motor space and 336f
Real space metrically deformed topographic map of 336f
Real world depth cues and 216—221
Real world inputs 125
Real world modeling of interactions in 415
Real-worldliness and network models 125—130
Real-worldliness principal aspects of 125
Reality, achieving model that does justice to 416
Receptive fields 53—57
Receptive fields center-surround, in retina 54
Receptive fields dynamic nature of 56—57
Receptive fields in fingertips 54
Receptive fields of input unit 184
Receptors, genetics of proteins of 4
Reciprocal connections 317
Reciprocal innervation law 361
Recognition deficits 319—323
Recognition deficits and network organization 321
Recognition memory 286
Recognition of man-made objects 323
Recognition of subcategories 321—323
Recognition of unique individuals 321—323
Recurrent network 77f 115—125
Recurrent network input-output structure of 303f
Recurrent network model of 120f
Recurrent network output of 122f
Reduction, definition of 415
Redundancy 163
Redundancy reasons for usefulness of 165
Referee network 129—130
Referee network in system of mini-nets 130f
Reflex arc, concept of 29
Regional blood flow monitoring 435
Rehearsal 284 301
Relaxation 83—84 90
Relaxation labeling 96
Relaxation nets, solution of global problems by 93
REM sleep, theta waves during 264—265
Repeatable patterns, generation of 381—383
Representations abstract vs modality-specific 321
Representations and need to survive 147—148
Representations current vs stored 142
Representations definition of 316—317
Representations distribution and redistribution of 171
Representations explicit vs. implicit 168
Representations in visual system of brain 157—163
Representations indexical 422
Representations neurobiology of 142—237
Representations occurrent/abeyant distinction for 165—167
Representations operations on 62
Research co-evolution of 10—11
Research on cognitive and psychophysical level 12
Research on network level 12—13
Response latency 138—139
Response selective processing 302f
Retina comparison of images on to varying planes of fixation 197—199
Retina detecting movement on 369
Retina ganglion cells of 54
Retina optics of 224—225
Retina photoreceptors in 223
Retina projections from 150f
Retina slip on 354 357 366—367
Retina spots of light falling on 227f
Retina studies of 160
Retina synaptic organization of in vertebrates 149f
Retina three-dimensional information carried to 171
Retina types of cells in 42—43
Retinal ganglion cells pathways of 148—149
Retinotopy 155
Retraining holus-bolus 127—128
Retrograde tracing technique 442
Reversible figures 145f
Rhythmic behavior 381—382
Rhythmic behavior afferent control of 385
Rhythmic behavior brain stem in 409
Rhythmic behavior in Grillner model 409
Rhythmic behavior NMDA receptors in timing of 403
Rhythmic behavior representation of 169—170
Rhythmic behavior variety of 381—382
Rhythmic patterns, generation of 381—382
Rhythmicity, slow and high-frequency 398
Robots (cont.) six-legged 424f
Robots construction of 422—423
Rod photoreceptors 148 223
Rod photoreceptors recording response from 144f
Saccade-movement information 359
Saccades 188 195
Saccades effects on amplitude and direction of 236
Saccadic-burst neurons 358
Scalability, improvement of 125—127
Scalar encoding 164
Scaling problem 112
Scientific advances 1
Screen-door problem averaging method in 237
Screen-door problem improved performance in 212—213
Screen-door problem solution of 211—212
Second-messenger, activation of 48
Segmental ganglion, of leech 339f 340f
Segmental oscillators change in frequency of 396
Segmental oscillators connecting pairs of cells in 392—394
Segmental oscillators coupling of 392—395 397
Segmental oscillators time in 337—338
Segmental swimming oscillator 388—399
Segregation task 93
Self-organizing systems 97—98
Selverston, Allen 4
Sensorimotor coordination nature of problem of 332—335 337—338
Sensorimotor integration 15 331—411
Sensorimotor integration dynamics of 177
Sensorimotor integration in LeechNet 341—353
Sensorimotor integration modeling neuron in 399—411
Sensorimotor integration spinal cord circuits in 382
Sensorimotor integration strategy for 338—339
Sensorimotor integration time in 379—388
Sensory information guiding body movements 331
Sensory information processing of 23
Sensory input, categorization of 418—422
Sensory neurons, high-level place-coded 155—157
Sensory processing hierarchy 23—25
Sensory receptors, types of in vertebrates 143f
Sensory representation, power and versatility of population coding in 233—234
Sensory space, position in 334f
Sensory system hierarchical organization of 23—24
Sensory system topographic maps of 31—34
Sensory transducers 142—143
Sensory-motor device 416
Shape-from-shading model 183—188
Sharp brain waves 264 265
Sharp brain waves hierarchical organization of cell population burst with 268f
Sharp brain waves in humans 270
Sherrington's reciprocal innervation law 361
Short-term memory and hippocampus 281
| Short-term memory circulating 301—303
Short-term memory creation of with short recurrent connections 122—123
Short-term memory neuronal implementation of 301—304
Short-term memory vs. long-term memory 297—299
Short-term processes, and synaptic efficacy 305f
Signal integration 143—144
Signal processing 143—144
Signal semantics 286
Signal/noise ratio 228
Similarity space 169
Simulations paradigm 413—414
Simulations parameters of 413—416
Simulations vs. synthetic brain function 415—416
Single-unit recording 440—442
Size constancy of 188
Size gradient 189
Size perception of 196f
Sleep, brain waves during 265
Slide rule 71f
Smeary images 366—367
Smooth pursuit 367
Smooth pursuit basic oculomotor circuits used for 368
Smooth pursuit eye tracking system in 370f
Smooth pursuit integration of with VOR 354 368—369
Smooth pursuit system 358
Smooth pursuit system for visual tracking 29
Snout, of mouse 38f
Sodium channels controlling voltage across 401
Sodium channels fast 399
Sodium channels simulation in pyramidal neuron 404—405f
Sodium current, during action potential in squid giant axon 400f
Sodium mapping 432—434
Solar system model 136
Somatosensory cortex multiple representations of body surface in 32—33
Somatosensory cortex studies of 160
Somatosensory system size of receptive field of 53—54
Somatosensory system topographic mapping of 32—34 155
Sonar signals discriminating 112—115
Sonar signals typical spectral envelopes of 116—117f
Sonar target recognition network, preprocessing for 114f
Sound recognition 320
Sound source, precise location of 155
Space-time diagram 175f
Spatial learning, and long-term potentiation 259
Spatial vision coarse coding in 225—226
Spatial vision hyperacuity in 225
Specialization 318
Specialization at behavioral level 325
Specialization by substructures 130
Specialization in regions of nervous system 50—51 50f
Speech recognition network, testing new voice on 127
Spin glass system 85—87
Spin glass system local energy minima in 88
Spin glass system thermodynamics of 88—89
Spinal cord basic rhythm of segments of 410
Spinal cord complexity of 388
Spinal cord in sensorimotor integration 339
Spinal cord intersegmental influence in 410
Spinal cord intra- and intersegmental connections of 384f
Spinal cord lamprey 392
Spinal cord lamprey activity of 395f
Spinal cord neuron models in lamprey 403
Spinal cord oscillating circuits in 382—388 390f
Spinal cord pharmacology of 388
Spinal cord posterior view of 383f
Spinal cord stretch receptor input to 409
Spinal cord structure of 382
Split-brain studies 429
Squashing functions 111—112 124 137
Squashing functions matrix plus 168
Squashing functions nonlinear 109—111
Squid giant axon, action potentials in 399—402
SSL (some small lies) constraint 402
Stable limit cycle 123
State space 64—65 155 163
State space and color perception 223—224
State space and color variation 225f
State space characterizing rhythmic movement 170f
State space conceptual fecundity of 167—174
State space increasing number of dimensions of 105
State transitions 67
Stellate cells 36f
Stepping movements, of cockroach and cat 387f
Stereo invariants, unsupervised learning of 215—216
Stereo vision 188
Stereo vision and object recognition 193
Stereo vision computational models of 199—221
Stereo vision cooperative algorithm in 210—215
Stereo vision depth cues in and real world 216—221
Stereo vision false 195
Stereo vision neurophysiology and anatomy of 197—199
Stereo vision psychological parameters of 189—195
Stereo vision study of in spiny lobster 4—5
Stereo vision unsupervised learning of stereo invariants in 215—216
Stereoacuity, falling off of 226
Stereopsis 192
Stereopsis as powerful depth cue 218—220
Stereopsis coarse 202—209
Stereopsis modules for 220
Stereopsis visual processing of 218
Stereotypy 339
Stimulus-guided modifiability 381
Stomatogastric ganglion circuit in 5f
Stonehenge 66—67
Stretch receptors, input to spinal cord by 409
Stretch reflex, pathways for 32f
Striate cortex, cell bodies of 35f
Striatum radiatum, EEG recording from 264f
String galvanometer 437—438
Submodalities, talking across 326
Subnetworks, clustering related information in 128—129
Substantia nigra, projecting neurons originating in 57
Superconducting magnetometers 440
Superior colliculus, vector-averaging in 234 235f
Superstructure concepts 1
Surface principal curvatures of 183—186
Surface principal orientation of 185—186
Swimming central pattern generator for 349
Swimming characteristics of 389f
Swimming in lamprey 388—399
Swimming model of 15
Swimming oscillator, segmental 388—399
Sympathetic gangion cell, bullfrog 401
Synapses (cont.) conditions for induction of plasticity in 254f
Synapses and function of neuron 17
Synapses anti-Hebbian 252—253
Synapses change in strength of as function of postsynaptic activity 295f
Synapses decreasing strength of 289—295
Synapses diagram of on dendritic spine 46f
Synapses dynamic functioning of 179
Synapses excitatory and inhibitory signals by 43f
Synapses function of 44
Synapses induction of long-term potentiation at 221
Synapses main biochemical mechanisms of 49f
Synapses modification of 220
Synapses modification of non-Hebbian 253—254
Synapses modification of pseudo-Hebbian 252—253
Synapses modification of signs of 293—295
Synapses modification of strengthening in human nervous system 51
Synapses modification of strengthening number of in cortex 51
Synapses modification of strengthening presynaptic connection 263
Synapses plasticity of 136 250—254
Synapses short-term processes affecting efficacy of 305f
Synapses tree diagram of forms of Hebbian change of 253f
Synapses types of 52f
Synapses use-dependent changes in 290f
Synaptic weight change theory 253—254
Synchronous bursts 220—221
Systematic mapping 65
Systems concepts 29—31
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