Churchland P.S., Sejnowski T.J. — The computational brain :: Электронная библиотека попечительского совета мехмата МГУ

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Churchland P.S., Sejnowski T.J. — The computational brain

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Название: The computational brain

Авторы: Churchland P.S., Sejnowski T.J.

Аннотация:

The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field.

Язык:

Рубрика: Биология/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 1992

Количество страниц: 544

Добавлена в каталог: 04.12.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID

Предметный указатель

Systems neurobiology      6
Tank network      92
Task-related reaction time (RT), measurement of      24—25
Teacher, as adjunct to network      102
Temporal capacities, and current events      305—306
Temporal lobe amnesia      245—248
Temporal lobe bilateral resection of      243
Temporal lobe left, specialization of for linguistic functions      323
Temporal lobe lesions of and recognition defects      319—321
Temporal lobe memory loss with lesions of      244 245f
Temporal relations, and ocular dominance      311
Temporal sequence mapping      119—120
Temporal structures      138
Temporal structures first step in handling of      119—120
Temporal structures importance of      117—119
Temporal structures intrinsic      120—121
Texture      189
Texture gradients      188
Texture perception of      196f
Thermoregulation, nervous system in      8
Theta rhythm      265
Theta waves, controversy over existence of in primates      268—270
Three-dimensional geometry      83
Three-layer connectionist networks      165
Three-layer connectionist networks solution of perceptual problem by      183
Threshing machine      67f
Tic-tac-toe game tree      71f 72
Time in activation and weight modification framework      174—183
Time in computational models      305—307
Time in sensorimotor coordination      337—338
Time in sensorimotor integration      379—388
Time-coding pathway, of barn owl      421f
Time-delay neural network      120f
Timing, of cellular events      380—388
Tinkertoy look-up table      70—74 137
Top-down strategy      12—13 18
Topographic maps      31—34 37
Tracking      188
Tracking and image velocity      372—373
Tracking head-only      369
Tracking of moving target      373f
Tracking smooth pursuit      370f
Tracking with image moving      369
Tract-tracing techniques      29
Trained-up network model      137—138
Trained-up network model ways to achieve      167—168
Transducers high- and low-sensitivity      148
Transducers processing of signals of      144—145
Transducers sensory      142—143
Traub learning model      287—289
Tuning selectivity      178—179
Tuning selectivity and local coding      179—183
Unconscious inference      416
Vector averaging      233—237
Vector coding      163 164f
Vector coding and vector-matrix computation      172—173
Vector coding definition of      164—167
Vector coding exclusion of      179—181
Vector completion      173f 320
Vector quantization      128
Vector quantization by competitive learning      129
Vector-matrix computation      171—172
Vector-matrix computation and vector coding      172—174
Vector-matrix computation theoretical half-life for      177
Vector-to-vector mapping      64—6 5
Vector-vector transformation      172 416
Vector-vector transformation in local bending      344
Vector-vector transformation in sensorimotor coordination      335—337
Vector-vector transformation interneuron      349
Vector/activation space, modularity and      324—325
Vectors definition of      64 164
Vectors in linear algebra      65
Vectors inner product between      78f
Vectors input and output      78—81
Vectors measure of      78
Vectors ordered sequence of      117 379
Vectors storage of      81
Vectors storage of in computer      75—76
Ventral local bending      349
Ventral roots      382
Vergence (eye)      195
Vergence (eye) and absolute depth judgments      231—233
Vergence (eye) and high-resolution perception      207
Vergence (eye) changes in gain as function of      233f
Vergence (eye) left/right horizontal-row correspondence between      206f
Vergence hunting      211
Vernier-style hyperacuity      224—226
Vertical columns      37
Vestibular apparatus, evolution of in vertebrates      353f
Vestibular hair cell, directional selectivity of      354f
Vestibular input/output table      361f
Vestibular nuclei (VN)      358—359

Vestibular nuclei behavior of      365
Vestibular nuclei neurons projecting to      357—358
Vestibular nuclei responses of      359—361
Vestibular-flocculus connection changes      371 372 376
Vestibular-flocculus synapses, modification at      375
Vestibular—brain stem connection as locus of learning      371—372
Vestibular—brain stem connection learning location in      376
Vestibulo-ocular reflex (VOR) basic oculomotor circuits used for      368f
Vestibulo-ocular reflex circuitry of      356—357
Vestibulo-ocular reflex circuitry of and smooth pursuit system      369
Vestibulo-ocular reflex compensatory eye movement in      363
Vestibulo-ocular reflex computation and      353—378
Vestibulo-ocular reflex function of      353—354
Vestibulo-ocular reflex gain of      411
Vestibulo-ocular reflex in sensorimotor integration      338-339
Vestibulo-ocular reflex measurements of under different conditions of gain      367f
Vestibulo-ocular reflex miniaturizing lens effect on      371 373—375
Vestibulo-ocular reflex model of      13 136—137
Vestibulo-ocular reflex model of final weights of      361f
Vestibulo-ocular reflex model of hidden and output unit responses for      361f
Vestibulo-ocular reflex motor learning in      366f
Vestibulo-ocular reflex open-loop system of      357 365—366
Vestibulo-ocular reflex organization of direct pathway in      358f
Vestibulo-ocular reflex pathway of      29
Vestibulo-ocular reflex pathway of idealized model of direct      360
Vestibulo-ocular reflex plasticity in      365—378
Vestibulo-ocular reflex-pursuit responses      359
Vibrissae, of mouse      38f
Vision fixed camera vs animate      422f
Vision in primates      188
Vision stereo      188—199
Vision stereo computational models of      199—221
Visual cortex activity patterns in      434f
Visual cortex architecture of      440
Visual cortex functions of      7
Visual cortex ocular dominance patches in      309
Visual cortex ocular dominance patterns in      314—315f
Visual cortex processing in      147
Visual cortex receptive field properties of cell in      154f
Visual cortex response selectivity of neurons in      160
Visual cortex sensory information processing in      23
Visual cortex tuning curves of neurons in      178f
Visual feedback      357
Visual feedback of image velocity      372—373
Visual motion pathway, detecting movement on retina      369
Visual orientation columns, visualization of      436
Visual pattern discrimination task      300
Visual pattern recognition      320
Visual pattern recognition impaired      319
Visual pattern recognition time constraints of      138
Visual saccades, effects on amplitude and direction of      2 36
Visual state space      332—335 337
Visual state space representation of      333—334
Visual stimuli, use of in behavioral response      25—27
Visual system (cont.) space-specific mapping in      155—157
Visual system (cont.) topographic mapping in      33—34
Visual system and representing in brain      157—163
Visual system default assumptions in      146—147
Visual system mammalian      148—157
Visual system pathways of      369
Visual system pathways of from eye to visual cortex      151f
Visual system pathways of in primates      148—149
Visual system place-coding in      155
Visual system segregation of parallel pathways in      161
Visual system shading gradients in      145—146
Visual tracking smooth pursuit system for      29
Visual tracking VOR in      353—354
Visual world, construction of      142—148
Von Neumann machines      66
Walking, computational complexity of      8
Wallerian degeneration      442
Weight space      168
Weight space and activation space      168—169 170
Weight space synaptic      169f
Weight-activation distinction      175—176
Weight-modification      131
Weight-modification and plasticity      241
Weight-modification and time      174—184
Weight-setting, automating of      109
Weights hand-setting of      168
Weights matrix      137
Wheatstone, Charles, retinal image studies of      189
Willshaw network      79f 81
Working memory      299—301
Working memory deficits of      301
Working memory delayed spatial response of      300f
Working memory mechanisms of      301
Working memory old paradigm of      141
Working memory representation of      141—237
Working memory sustaining processes of      301
World new paradigm of      141—142
Zador model      276—278
Zygon-net      132

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