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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 |
"Mind of the Mnemonist, The" 295
"Push-splash" phenomenon 344
2-Deoxyglucose technique 428f 434—435
6-Hydroxydopamine 430
Absolute depth discrimination, vergence and 231—233
Abstract problem analysis 18
accessibility features 13
Action potentials 20
Action potentials duration and transmission velocity of 52
Action potentials mathematical analysis of in squid giant axon 399—401
Activation modification of and time 174—183
Activation prototypical 177
Activation space and weight space 168—170 175—176
Activation space partitioning of 323—324
Activation vectors, unique 320
Active perception 418—423
Activity vector, three-element 234
Adaptation, oculomotor system in 356
Adaptive interactions 239
After-hyperpolarization (AHP), extension of 176
Algorithm, discovery of 19
Algorithmic level 18 20—21
Amacrine cells, production of 307
Amino acids, radioactively labeled 442—443
Amino-phosphonobutyric acid (APB) 431
Amino-phosphonovaleric acid (APV) 431
Amnesia, temporal lobe 244—248
Amnesic patients guessing in 246
Amnesic short-term memory performance in 298f
Amnesic studies of 243 297—299
AMPA receptors, in lamprey half-center circuit 398
Analog VLSI 416—418
Analysis, levels of 18—19
Anastasio's dynamical model 363 365
Anastasio's dynamical model network architecture of 364f
Anatomical techniques 427
Anatomical tract tracing 442—443
Anatomy, link of with representations of 23
Animal brain function models 429—430
Animate vision, vs fixed camera vision 422f
Annealing dynamics of 89
Annealing in Ising model 86f
Answer, looking up 69—76
AP5 blocking learning by 257—259 263—264
AP5 blocking of LTP by 272—273
Arbor function 312
Arm, sensorimotor coordination for 332f
Artificial neural structures 416
Artificial neural structures construction of 416—418
Associative memory, tasks of 300f
Associative networks see also “Feedforward networks” 78—82 107
Associative networks and hippocampal anatomy 284—285
Associative stimulus paradigms 292—293f
Aubrey holes system 66—67
Auditory chips 417 418
Auditory cortex, topographic mapping of 34
Auditory object localization 417—418
Auditory space, neural map of in barn owl 420f
Auditory system in barn owl 155 417—421
Auditory system research on 237
Augmented finite state machine (AFSM) 425f
Autoassociative content-addressable memory 80
Autoassociative network 81
Autopsy 429
Axon projections, anatomical tracing techniques for 441f
Axons, tracing of 442—443
Axoplasmic transport 442—443
Backpropagation algorithm 109—111
Backpropagation as high-fidelity design tool 347—349
Backpropagation evolution of 359
Backpropagation for global network 377
Backpropagation for understanding oculomotor system 378
Backpropagation generalizations of 123
Backpropagation of enor 112—113
Backpropagation role of in training up network 362—363 375—376
Ballard, Dana active perception and 418—423
Ballard, Dana integration of perception and motor control 416
Barn owl auditory object localization by 417—418
Barn owl auditory pathway of 418f
Barn owl innervation of nucleus laminaris in 419f
Barn owl neural map of auditory space in 420f
Barn owl silicon model of time-coding pathway of 421f
Basal ganglia, organization of 35
Basket cells 36f
Basket cells effects of on synapse 52
Behavior response, measurement of accuracy of 24—25
Behavioral plasticity 240
Bending reflex see also “Local bending reflex”
Bending reflex Lockery's modeling of 15
Bending reflex model of in leech 13
Berger, Hans 437
Binary threshold rule, in Hopfield network 90
Binary threshold units 87
Binocular fusion 208—209
Binocular perception 189 218
Binocular perception depth 147 317
Binocular perception depth development of 145
Biological structure, function of 69
Biophysical mechanisms, and computations they help perform 45f
Blood flow monitoring 436
Body physics of 415—416
Body surface maps of in nervous system 32—34
Boltzmann distribution 100
Boltzmann distribution at equilibrium 101
Boltzmann machine 91—92
Boltzmann machine figure-ground constraint satisfaction by 96
Boltzmann machine fluctuating units of 91—92
Boltzmann machine network to solve segregation task in 93
Boltzmann machine nonlinear hidden units in 100
Boltzmann machine pattern completion by 102
Boltzmann machine schematic diagram of 101f
Boltzmann machine supervised vs unsupervised 101
Bottom-up strategy 4
Bottom-up strategy test of 5
Boundary detection, binocular 209
Brain see also “specific areas of”
Brain computational principles of 7—11
Brain continual modification of 239
Brain contribution of to perception 144—147
Brain coronal section of 242—243f
Brain detecting functional damage to 432
Brain energy consumption for computation in 9
Brain experimental techniques for study of function of 428
Brain facts about 48—59
Brain function study techniques 428f
Brain gross recordings of 157—158
Brain highly parallel character of 59
Brain in sensorimotor integration 331—411
Brain inability of to forget 295
Brain layers and columns of 35—37
Brain lesions animal models of 429—4 30
Brain lesions human studies of 427—429
Brain lesions neurological assessments of 427—429
Brain magnetic resonance imaging sections of 433f
Brain mapping regions of specialization in 157—158
Brain maps of body surface in 32—34
Brain materials of construction for computational strategies in 9—10
Brain matrixlike architecture of structures of 286
Brain molecular composition of 431—432
Brain noninvasive mapping of structure of 432
Brain oxygen and nutrient supply for 9—10
Brain physiological levels of 20
Brain plasticity of 239—329
Brain possible research strategies for 12
Brain posterior view of 383
Brain processing of transducer signals by 144—145
Brain protein and lipid supply of 10
Brain reciprocal connections between areas of 31
Brain representation in 143 157—163
Brain spatial limitation of 9
| Brain special-purpose systems of 7
Brain specific connectivity in 51
Brain stem computing motor neuron activity of nuclei of 368
Brain stem in locomotion 387
Brain stem in rhythmic behavior 409
Brain stem local learning rule that produces changes in 377f
Brain stem organization of structures of 34
Brain structural components of 1
Brain systems of 29—31
Brain temporal factors in computational strategies of 8—9
Brain topographic maps of 31—34
Brain visually mapped areas of 158—160
Brain waveform patterns 438—439
Brain weak cell-to-cell interactions in 52
Brain wide projection of neurons over 58f
Brain-brain stem connections 382
Brewster, David, retinal image studies of 189
Brooks, Rodney following of evolution 416
Brooks, Rodney mobots of 423—425
Buchanan model activity pattern of cell types in 391f
Buchanan model connecting pairs of segmental oscillator cells in 392—394
Buchanan model connectivity of segments in 398
Buchanan model coupling configurations in 394—395
Buchanan model insight into rhythm of spinal cord segments in 410
Buchanan model tests of 391f
Buzsaki two-stage learning hypothesis 287—289
CA1 pyramidal cells 261—264
CA1 pyramidal cells changes in calcium concentration in soma and apical dendrites of 271
CA1 pyramidal cells long-term modification of 267
CA1 pyramidal cells population burst of 265
CA1 pyramidal cells signal processing in 286
CA3 connectivity patterns of 280
CA3 disinhibition of pyramidal cells, potentiation of 267
CA3 generation of EPSPs by 289
CA3 neuronal network, sharp-wave population burst in 268f
CA3 pyramidal cells 255—257
CA3 signal processing in 286
CA3 synchronized bursting of 265
CABLE simulator 405f 408—409f
Calcium changes in concentration in soma and apical dendrites 271f
Calcium channels, simulation in pyramidal neuron 404—405f
Calcium immediate targets of in neurons 276f
Calcium in inducing LTP 274—276 278
Calcium modulation of regulatory functions of 277f
Calcium role of in rhythmic behavior 407
Calcium-sensitive dye 436—437
Calmodulin 278
Calmodulin active 278
Calmodulin modulation of calcium ion regulatory functions by 277f
Canonical competitive nets 215—218
Canonical net 77
Cartesian dualism hypothesis 1—2
Categorical hierarchy 321
Cells death of 307
Cells long-term potentiation and populations of 264—270
Cells synchronously firing 220—221
Cellular events, temporal schedules of 380—388
Center-surround organization, response of ganglion cells in 55f
Center-surround receptive fields 53—56
Central nervous system see also “Brain; Nervous systems”
Central nervous system computer models of neurons in 402
Central nervous system in sensorimotor integration 338
Central nervous system of leech 338f
Central pattern generator (CPG) 382 385f
Central pattern generator (CPG) sources of modulatory input to 385f
Central rhythm generator (CRG) 387
Cerebellum, topographic mapping of 34
Cerebral cortex see also “Brain
Cerebral cortex alteration of maps in after habitual stimulation 57f
Cerebral cortex cortices related to lexical retrieval operations in 322f
Cerebral cortex firing patterns of neurons in 53f
Cerebral cortex flattened projection of 21f
Cerebral cortex laminae and principal neuron types in 36f
Cerebral cortex major gyri and fissures of 30f 31f
Cerebral cortex medial and dorsolateral views of in owl monkey 159f
Cerebral cortex microcircuit in 39f
Cerebral hemispheres, Golgi-stained sections of 3f
Chandelier cells 31
Chandelier cells cones and perception of hues by 221—224
Chandelier cells effects of on synapse 52
Chandelier cells in hyperacuity 225—226
Chandelier cells production of 307
Channel configurations 20
Chromatolysis 442
Circuits, and cells 281—289
Circulating signals 301
Classical conditioning 240
Coarse coding definition of 178—179
Coarse stereopsis emergence of from matching 218
Coarse stereopsis marching and 202—209
Cochlea-brain stem nucleus, synthetic 417—418
Cochleas, basilar membranes of 417
Coding, by vector averaging 234—237
Colliculus look-up 74—75
Colliculus organization of in cat 75f
Color coding mechanism 166f
Color constancy 188 189 221
Color perception and reflectance properties of surfaces 441
Color perception by coarse coding 221—224
Color perception from higher-level processing 223
Color perception transducers allowing 148
Color representation, as three-element activity vector 234
Color state space 223—224
Color, as wavelength 221—223
Columnar organization 35—37
Compatibilities, computation of in coarse stereopsis 202—209
Compatibility function 201—202 210—211
Competitive learning 102—105
Competitive learning anti-Hebbian, of disparity invariants 217f
Competitive learning vector quantization by 129f
Competitive learning weaknesses of 104
Competitive unsupervised networks 215
Compressed representations 103
Computation and vestibulo-ocular reflex 353—378
Computation constraint satisfaction in 82—96
Computation definition of 61 316—317
Computation energy consumption for 9
Computation linear associators in 77—82
Computation materials of construction for 9—10
Computation overview of 61—139
Computation principles of 69
Computation principles of looking up answer 69—76
Computation time for performing 8—9
Computational models introduction of 15
Computational models of stereo vision 199—221
Computational neuroscience conceptual ideas structuring problems of 10—12
Computational neuroscience evolution of 6
Computational neuroscience neuroscience component of 17—18
Computational neuroscience purpose of 6—7
Computed tomography (CT) 432
Computer models 6
Computer models for difficult animal experiments 350
Computer models in explaining higher-level phenomena 415
Computer models input and output of 414
Computer models parameters of 414—415
Computer models pushing bounds of 413—414
Computer models simulation vs artificial performances 415—416
Computer models usefulness of 413
Computer science, levels of 18
Computer simulation for dorsal bending in leech 345—353
Computer simulation in understanding local networks 39—40
Computer simulation of neurons 13
Computer-net 133—134
Computers 65—69
Computers as physical device 66—67
Computers components of 65
Computers design of 75—76
Computers digital 68
Computers general-purpose 72
Computers manufactured vs biological 68
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