-
2
-
-
84864070475
-
-
Pittsburgh brain activity interpretation competition inferring experience based cognition from fmri
-
Pittsburgh brain activity interpretation competition inferring experience based cognition from fmri. http://www.ebc.pitt.edu/competition.html.
-
-
-
-
3
-
-
33747592866
-
What's on your mind?
-
What's on your mind? Nature Neuroscience, 9(981), 2006.
-
(2006)
Nature Neuroscience
, vol.9
, Issue.981
-
-
-
4
-
-
0029999731
-
Linear systems analysis of functional magnetic resonance imaging in human v1
-
G. M. Boynton, S. A. Engel, G. H. Glover, and D. J. Heeger. Linear systems analysis of functional magnetic resonance imaging in human v1. J. Neurosci, 16:4207-4221, 1996.
-
(1996)
J. Neurosci
, vol.16
, pp. 4207-4221
-
-
Boynton, G.M.1
Engel, S.A.2
Glover, G.H.3
Heeger, D.J.4
-
5
-
-
84864037397
-
Predicting base features with supervoxels
-
Abstract presented, Florence, Italy
-
D. Chigirev, G. Stephens, and T. P. E. team. Predicting base features with supervoxels. Abstract presented, 12th HBM meeting, Florence, Italy, 2006.
-
(2006)
12th HBM Meeting
-
-
Chigirev, D.1
Stephens, G.2
-
6
-
-
0041737619
-
Functional magnetic resonance imaging (fmri) brain reading: Detecting and classifying distributed patterns of fmri activity in human visual cortex
-
D. D. Cox and R. L. Savoya. Functional magnetic resonance imaging (fmri) brain reading: detecting and classifying distributed patterns of fmri activity in human visual cortex. NeuroImage, 19:261-270, 2003.
-
(2003)
NeuroImage
, vol.19
, pp. 261-270
-
-
Cox, D.D.1
Savoya, R.L.2
-
7
-
-
4344705249
-
Statistical parametric maps in functional imaging: A general linear approach
-
K. J. Friston, A. P. Holmes, K. J. Worsley, J. P. Poline, C. D. Frith, and R. S. J. Frackowiak. Statistical parametric maps in functional imaging: A general linear approach. HBM, 2(4):189-210, 1995.
-
(1995)
HBM
, vol.2
, Issue.4
, pp. 189-210
-
-
Friston, K.J.1
Holmes, A.P.2
Worsley, K.J.3
Poline, J.P.4
Frith, C.D.5
Frackowiak, R.S.J.6
-
8
-
-
1542618117
-
Intersubject synchronization of cortical activity during natural vision
-
U. Hasson, Y. Nir, I. Levy, G. Fuhrmann, and R. Malach. Intersubject synchronization of cortical activity during natural vision. Science, 303(1634), 2004.
-
(2004)
Science
, vol.303
, Issue.1634
-
-
Hasson, U.1
Nir, Y.2
Levy, I.3
Fuhrmann, G.4
Malach, R.5
-
9
-
-
17844380475
-
Decoding the visual and subjective contents of the human brain
-
Y. Kamitani and F. Tong. Decoding the visual and subjective contents of the human brain. Nature Neuroscience, 8:679-685, 2005.
-
(2005)
Nature Neuroscience
, vol.8
, pp. 679-685
-
-
Kamitani, Y.1
Tong, F.2
-
10
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, 2001.
-
(2001)
ICML
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
11
-
-
0004047518
-
-
Oxford University Press, New York
-
S. Lauritzen. Graphical Models. Oxford University Press, New York, 1996.
-
(1996)
Graphical Models
-
-
Lauritzen, S.1
-
12
-
-
0038719640
-
The underpinnings of the bold functional magnetic resonance imaging signal
-
N. K. Logothetis. The underpinnings of the bold functional magnetic resonance imaging signal. The Journal of Neuroscience, 23(10):3963-3971, 2003.
-
(2003)
The Journal of Neuroscience
, vol.23
, Issue.10
, pp. 3963-3971
-
-
Logothetis, N.K.1
-
13
-
-
3242802095
-
Learning to decode cognitive states from brain images
-
T. Mitchell, R. Hutchinson, R. Niculescu, F.Pereira, X. Wang, M. Just, and S. Newman. Learning to decode cognitive states from brain images. Machine Learning, 57(1-2):145-175, 2004.
-
(2004)
Machine Learning
, vol.57
, Issue.1-2
, pp. 145-175
-
-
Mitchell, T.1
Hutchinson, R.2
Niculescu, R.3
Pereira, F.4
Wang, X.5
Just, M.6
Newman, S.7
-
14
-
-
85013859768
-
Gaussian process regression and recurrent neural networks for fmri image classification
-
Abstract presented, Florence, Italy
-
E. Olivetti, D. Sona, and S. Veeramachaneni. Gaussian process regression and recurrent neural networks for fmri image classification. Abstract presented, 12th HBM meeting, Florence, Italy, 2006.
-
(2006)
12th HBM Meeting
-
-
Olivetti, E.1
Sona, D.2
Veeramachaneni, S.3
|