Главная    Ex Libris    Книги    Журналы    Статьи    Серии    Каталог    Wanted    Загрузка    ХудЛит    Справка    Поиск по индексам    Поиск    Форум   
blank
Авторизация

       
blank
Поиск по указателям

blank
blank
blank
Красота
blank
Sommer F.T., Wichert A. (eds.) — Exploratory Analysis and Data Modeling in Functional Neuroimaging
Sommer F.T., Wichert A. (eds.) — Exploratory Analysis and Data Modeling in Functional Neuroimaging



Обсудите книгу на научном форуме



Нашли опечатку?
Выделите ее мышкой и нажмите Ctrl+Enter


Название: Exploratory Analysis and Data Modeling in Functional Neuroimaging

Авторы: Sommer F.T., Wichert A. (eds.)

Аннотация:

Functional imaging tools such as fMRI (functional magnetic resonance imaging), PET (positron emission tomography), EEG (electro-encephalogram), and MEG (magneto-encephalogram) allow researchers to record activity in the working brain and draw inferences about how the brain functions. This book provides a survey of theoretical and computational approaches to neuroimaging, including inferential, exploratory, and causal methods of data analysis; theories of cerebral function; and biophysical and computational models of neural networks. It also emphasizes the close relationships between different approaches, for example, between causal data analysis and biophysical modeling, and between functional theories and computational models.


Язык: en

Рубрика: Computer science/Обработка изображений/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2003

Количество страниц: 297

Добавлена в каталог: 23.11.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
blank
Предметный указатель
Adaptation paradigm      109 110 114
Artefact removal      201
Auditory component      140
Auditory stimulation      173
Autocorrelation      24
Autoradiography      277
Background activity      254
Bayesian framework      49
Bell — Sejnowski ICA      67
Bell — Sejnowski Infomax      132
Best-matching pair      63 87
Biophysical model      8
Blind source separation      157 165
Block design      80
Blood oxygen level dependence      2
BOLD signal      200
Box-car function      80
Canonical microcircuit      255
Cardio-ballistic effect      211
Causal data analysis      7
Checkerboard stimulus      67
Cluster analysis      17 78 82
Cluster center      82
Cluster membership validation      26
Cluster merging      42
Cognitive task      129
Combination EEG & fMRI      196 209
Competing hypotheses      49
Complex grasps      241
Component maps      66
Computational model      9 231
Computational paradigm of brain function      9
Congugate priors      52
Correlation coefficient      19 24 27 87
Covariance paradigm      5 19
Current dipole modeling      131
Cybernetics      9
Data analysis paradigms      5
Data averaging      63
Delay activity      90 93 94 100 252
Delay period      77 88
Delay-related activity      77 99 100 102
Delayed match-to-sample task      78 88 252
Delayed motor task      49
Dense Latency Sampling      83
Deoxygenated hemoglobin      18
Design PLS      279
Dimension reduction      164
Dipole modeled fastICA      175
Dopaminergic "gating"      262
Dynamical cluster analysis      77
Dynamical Clustering      86
Dynamical factor analysis      170
EEG power spectrum      198
EEG rhythm      197
Eigenimages      66
Electroencephalogram      3 164
Electrophysiology      116
Equidistant oversampling      81 83
Event-related fMRI      77 120
Event-related potential      197
Evoked potentials      214
Excitatory activity      253
Exploratory data analysis      6 17
Extinction      275
Factor analysis      19 164
FARS model      231
Feed-forward      254
Feedback      254
Field map      134
Finite impulse response models      51
Fluorodeoxyglucose      273
Functional development      275
Functional integration      4 78
Functional magnetic resonance imaging      2 209
Functional neuroimaging      2
Functional specialization      4 18 78
Fuzzy clustering      21 86
Gain-mediated model      266
General linear model      6 79
Glutamatergic synapses      253
Grasp control      231
Hemodynamic response      50 80 209
Higher order statistics      167
Independence      164
Independent component analysis      63 129 164
Inferential data analysis      6 81 214
Infomax      20 130 168
Inter-regional connectivity      255 268
Inverse problem      133
JADE      168
K-means clustering      86
kurtosis      167
Large scale brain modeling      252
Large scale modeling      273
Large-scale modeling      231
Leaky integrator neuron model      232
Learning      11 274
Likelihood function      52
Limits of blind sourse separation      171
Linear mixing      169
Local metabolism      253
Localization of brain function      4
Low frequency confounds      33
Magnetoencephalogram      3 164
Magnetoencephalography      129
Maximum likelihood signal estimation      81
Memory      274
Memory load      78 88
Model function      80
Modulation induced frequency components      183
Modulatory influences      254
Monkey fMRI      112
Motor activation      60
Motor execution      49
Motor preparation      49
Moving visual stimulus      113 118
Multielectrode recording      10
Multivariate data analysis      6
Mutual information      63 167 168
Near-DC magnetic field      182
Negentropy      167
Neural adaptation      112
Neural network model      8 233
Neural populations      109
Neuron populations      253
Neuronal adaptation      118
Noise in fMRI      65
Null-hypothesis      53
Oddball paradigm      200
Overlearning in ICA      167
Oversampling      77 81
Partial least squares      273
Pearson correlation coefficient      23
Phase-shift slice timing      82 84
Population coding      237
Positron emission tomography      232
Positron emmission tomography      2
Power grasp      246
Precision grasp      246
Principal component analysis      19 63
Prior distribution      52
Rank ordering      40
Regional cerebral blood flow      2
Regressor function      80
Restricted Cluster Analysis      85
screening      23
Second-order blind source separation      129
Seed PLS      286
Selective averaging      81
Short-term memory      252
Signal change homogeneity      87
Signal time course      114
Significance test      26
Simple grasps      241
Single trial fMRI      49
Single-cell electrophysiology      253
Slice-Timing      82
Smoothing      6
Somatosensory component      140
Somatosensory stimulation      132
Source localization      130
Source reconstruction      7
Spatial averaging      6
Spatial contiguity      87
Spatial independent component analysis      20
spatial resolution      3 8 165
Spatial resolution of fMRI      109
Spatial similarity      87
Spectral peak      24
Stationarity      80 169
Statistical parametric map      6
Structural equation modeling      7 254
Subtraction paradigm      5 18 253
Synaptic activity      253
Synaptic connectivity      11
Synchronized neuronal activity      197
Synthetic PET      231
TDSEP      165
Temporal cluster analysis      82
Temporal decorrelation      164
Temporal dissimilarity      87
Temporal fuzzy clustering      40
Temporal resolution      3
Temporal smoothness      87
Trend exclusion      23
Univariate linear signal estimation      81
Unmixing matrix      156
Validation of ICA for EEG & MEG      186
Vibrotactile stimulation      173
Visual component      140
Visual evoked potentials      198 214
Visual stimulus      135
Volume slice timing      82 89
White noise process      51
Whitening      166
Working memory      78 252
blank
Реклама
blank
blank
HR
@Mail.ru
       © Электронная библиотека попечительского совета мехмата МГУ, 2004-2021
Электронная библиотека мехмата МГУ | Valid HTML 4.01! | Valid CSS! О проекте