librain's mvpa [45 articles] Export

Recent papers added to librain's library classified by the tag mvpa. You can also see everyone's mvpa.

	Decoding cognitive control in human parietal cortex. [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 106, No. 42. (20 October 2009), pp. 17974-17979. by Michael Esterman, Yu-Chin Chiu, Benjamin J. Tamber-Rosenau, Steven Yantis posted to mvpa event-related-performance-analyis event-related decoding attention-shift by librain on 2009-11-04 10:44:31 as along with 1 person and 1 group mmwoodman LIBrain
	Kernel methods for fMRI pattern prediction [My Copy] Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on In Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on (2008), pp. 692-697. by Yizhao Ni, C. Chu, C. J. Saunders, J. Ashburner posted to fmri-classification kernel mvpa by librain on 2009-07-15 10:43:32 as
	A hybrid SVM–GLM approach for fMRI data analysis [My Copy] NeuroImage, Vol. 46, No. 3. (01 July 2009), pp. 608-615. by Ze Wang posted to brainmap fmri glm mvpa svm by librain on 2009-05-29 09:47:23 as
	GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison - Connection Science [My Copy] Connection Science, Vol. 21, No. 2. (2009), pp. 161-175. by Simon Durrant, David R. Hardoon, André Brechmann, John Shawe-Taylor, Eduardo R. Miranda, Henning Scheich posted to fmri glm music-cognition mvpa svm by librain on 2009-05-29 09:40:33 as
	Decoding sequential stages of task preparation in the human brain [My Copy] NeuroImage, Vol. 45, No. 2. (01 April 2009), pp. 606-613. by Stefan Bode, John-Dylan Haynes posted to mvpa by librain on 2009-05-11 13:21:25 as
	The neuroscientific exploitation of high-resolution functional magnetic resonance imaging. [My Copy] Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Vol. 1 (2006), pp. 21-24. by N. Kriegeskorte, P. Bandettini posted to challanges high-resolution-fmri mvpa by librain on 2009-04-23 15:58:10 as
	Revealing representational content with pattern-information fMRI--an introductory guide. [My Copy] Social cognitive and affective neuroscience, Vol. 4, No. 1. (17 March 2009), pp. 101-109. by Marieke Mur, Peter A. Bandettini, Nikolaus Kriegeskorte posted to mvpa survey by librain on 2009-04-23 15:07:42 as along with 6 people and 1 group nishiokov FrankLeone davclark nkishan brockkirwan DHMarks Skills, Automaticity and Imaging Methods
	Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data [My Copy] NeuroImage In Special Section: Social Cognitive Neuroscience, Vol. 28, No. 4. (December 2005), pp. 980-995. by Janaina Mourao-Miranda, Arun L. Bokde, Christine Born, Harald Hampel, Martin Stetter posted to mvpa permutation-test svm whole-brain by librain on 2009-04-02 13:10:54 as along with 4 people ph ITra schulz oyen
	Classifying spatial patterns of brain activity with machine learning methods: application to lie detection. [My Copy] Neuroimage, Vol. 28, No. 3. (15 November 2005), pp. 663-668. by C. Davatzikos, K. Ruparel, Y. Fan, et al.D. G. Shen, M. Acharyya, J. W. Loughead, R. C. Gur, D. D. Langleben posted to lie-detection machine-learning mvpa by librain on 2009-03-25 22:53:33 as along with 7 people nkishan szielke koba224 balicea jclau wtribbey isami
	Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data Reveals Deficits in Distributed Representations in Schizophrenia [My Copy] Biological Psychiatry, Vol. 64, No. 12. (15 December 2008), pp. 1035-1041. by J. Yoon, D. Tamir, M. Minzenberg, J. Ragland, S. Ursu, C. Carter posted to mvpa schizophrenia by librain on 2009-02-20 10:40:47 as
	Machine learning classifiers and fMRI: a tutorial overview. [My Copy] NeuroImage, Vol. 45, No. 1. (21 March 2009), pp. 199-209. by F. Pereira, T. Mitchell, M. Botvinick posted to fmri mvpa by librain on 2009-02-06 16:04:39 as along with 6 people and 1 group flieder jjrodriguez marrtin davclark brockkirwan bhamcnil Skills, Automaticity and Imaging Methods
	Multivoxel fMRI analysis of color tuning in human primary visual cortex [My Copy] Journal of Vision, Vol. 9, No. 1. (2009), pp. 1-13. by Laura M. Parkes, Jan-Bernard C. Marsman, David C. Oxley, John Y. Goulermas, Sophie M. Wuerger posted to classification mvpa by librain on 2009-01-30 22:18:41 as
	PyMVPA: a unifying approach to the analysis of neuroscientific data [My Copy] Fontiers in Neuroinformatics, Vol. 3, No. 3. (2009) by Michael Hanke, Yaroslav O. Halchenko, Per B. Sederberg, et al.Emanuele Olivetti, Ingo Fründ, Jochem Rieger, Christoph S. Herrmann, James V. Haxby, Stephen J. Hanson, Stefan Pollmann edited by Rolf Kötter, James A. Bednar, Andrew Davison, et al.Markus Diesmann, Marc-Oliver Gewaltig, Michael Hines, Eilif Muller posted to mvpa by librain on 2009-01-22 13:46:00 as
	Prediction and Interpretation of Distributed Neural Activity with Sparse Models [My Copy] NeuroImage, Vol. 44, No. 1. (2009), pp. 112-122. by Melissa K. Carroll, Guillermo A. Cecchi, Irina Rish, Rahul Garg, Ravishankar A. Rao posted to mvpa by librain on 2008-11-17 10:53:13 as along with 2 people sona eugeneduff
	Beyond Brain Blobs: Machine Learning Classifiers as Instruments for Analyzing Functional Magnetic Resonance Imaging Data [My Copy] (2007) by Francisco Pereira posted to mvpa by librain on 2008-10-20 13:53:45 as
	What we can do and what we cannot do with fMRI [My Copy] Nature, Vol. 453, No. 7197. (12 June 2008), pp. 869-878. by Nikos K. Logothetis posted to mvpa testbed by librain on 2008-10-06 14:23:30 as along with 45 people and 3 groups kndiaye thorstenkranz clayaa mrkrause brockkirwan pbellec flips isami PreciousJ nguizard jasonasm szielke viltrio napvasconcelos flieder belljar tbloomf yaxu lkasper elv balicea davclark jddeng awooga kristina kperdue manabu-s bayesian nelmor briordan ckases26 suizan mbolding nkishan lgp101 demettt abominable kaniko sen_cheng quianominorleo rcrane jclau shoshin cpeysermd albertleemon Functional_Imaging Skills, Automaticity and Imaging Methods VisionLab
	Decoding near-threshold perception of fear from distributed single-trial brain activation. [My Copy] Cerebral cortex (New York, N.Y. : 1991), Vol. 17, No. 3. (1 March 2007), pp. 691-701. by L. Pessoa, S. Padmala posted to fmri-classification mvpa regions-of-interest svm by librain on 2008-09-16 18:49:24 as along with 6 people and 1 group ph nishiokov kristina sankaku manabu-s jeep VisionLab
	Predicting the Stream of Consciousness from Activity in Human Visual Cortex [My Copy] Current Biology, Vol. 15, No. 14. (26 July 2005), pp. 1301-1307. by John-Dylan Haynes, Geraint Rees posted to fmri-classification linear mvpa by librain on 2008-09-16 17:34:20 as along with 2 people nkishan clayaa
	Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns [My Copy] NeuroImage, Vol. 43, No. 1. (15 October 2008), pp. 44-58. by Federico De Martino, Giancarlo Valente, Noël Staeren, John Ashburner, Rainer Goebel, Elia Formisano posted to mvpa by librain on 2008-08-20 17:35:24 as along with 4 people chiimaino jjrodriguez jasonasm isami
	Theoretical, Statistical, and Practical Perspectives on Pattern-based Classification Approaches to the Analysis of Functional Neuroimaging Data [My Copy] J. Cogn. Neurosci., Vol. 19, No. 11. (1 November 2007), pp. 1735-1752. by Alice J. O'Toole, Fang Jiang, Herve Abdi, Nils Penard, Joseph P. Dunlop, Marc A. Parent posted to mvpa by librain on 2008-07-09 14:51:29 as
	Individual faces elicit distinct response patterns in human anterior temporal cortex. [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 104, No. 51. (18 December 2007), pp. 20600-20605. by Nikolaus Kriegeskorte, Elia Formisano, Bettina Sorger, Rainer Goebel posted to mvpa searchlight by librain on 2008-06-11 11:32:38 as along with 6 people and 1 group nishiokov davclark sankaku brockkirwan xjing arild UC Berkeley Spring 2008 Cog Neuro Readings
	Exploring predictive and reproducible modeling with the single-subject FIAC dataset. [My Copy] Hum Brain Mapp, Vol. 27, No. 5. (May 2006), pp. 452-461. by X. Chen, F. Pereira, W. Lee, S. Strother, T. Mitchell posted to mvpa by librain on 2008-06-05 14:30:30 as along with 2 people and 1 group davclark pbellec Skills, Automaticity and Imaging Methods
	Large Scale Multiple Kernel Learning [My Copy] Journal of Machine Learning Research, Vol. 7 (July 2006), pp. 1531-1565. by Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf posted to mvpa by librain on 2008-06-05 14:25:26 as along with 3 people xuzhe83 rramirezp jjrodriguez
	Support vector machines for temporal classification of block design fMRI data [My Copy] NeuroImage, Vol. 26, No. 2. (June 2005), pp. 317-329. by Stephen Laconte, Stephen Strother, Vladimir Cherkassky, Jon Anderson, Xiaoping Hu posted to mvpa svm by librain on 2008-06-05 14:11:23 as along with 2 people audreysmurf ITra
	Partially Distributed Representations of Objects and Faces in Ventral Temporal Cortex [My Copy] Journal of Cognitive Neuroscience, Vol. 17, No. 4. (April 2005), pp. 580-590. by J. O'Toole, Jiang Fang, Abdi Herve, V. Haxby posted to mvpa by librain on 2008-06-05 13:59:36 as
	Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a “face” area? [My Copy] NeuroImage, Vol. 23, No. 1. (September 2004), pp. 156-166. by Stephen J. Hanson, Toshihiko Matsuka, James V. Haxby posted to mvpa by librain on 2008-06-05 13:44:51 as along with 4 people FrankLeone nkishan jasonasm emanueleolivetti
	PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data [My Copy] Neuroinformatics, Vol. 7 (2009) by Michael Hanke, Yaroslav O. Halchenko, Per B. Sederberg, Stephen J. Hanson, James V. Haxby, Stefan Pollmann posted to mvpa by librain on 2008-06-05 13:26:39 as
	Reading hidden intentions in the human brain. [My Copy] Current biology : CB, Vol. 17, No. 4. (20 February 2007), pp. 323-328. by John-Dylan D. Haynes, Katsuyuki Sakai, Geraint Rees, Sam Gilbert, Chris Frith, Richard E. Passingham posted to mvpa searchlight by librain on 2008-05-30 16:55:02 as along with 9 people and 2 groups jmcarp Scis0000002 nkishan sherdim touryanj sekulerlab manabu-s CharlesGaylord elv EPLab VisionLab
	Decoding the visual and subjective contents of the human brain [My Copy] Nature Neuroscience, Vol. 8, No. 5. (24 April 2005), pp. 679-685. by Yukiyasu Kamitani, Frank Tong posted to mvpa by librain on 2008-05-30 16:48:17 as along with 12 people and 3 groups jmcarp manabu-s jasonasm touryanj klouie yama_tah dmd Jeyzin davclark kendrickkay balicea nkishan Skills, Automaticity and Imaging Methods Glimcher_Lab Duke_Visual_Cognition_Lab
	Predicting the orientation of invisible stimuli from activity in human primary visual cortex [My Copy] Nature Neuroscience, Vol. 8, No. 5. (24 April 2005), pp. 686-691. by John-Dylan Haynes, Geraint Rees posted to mvpa by librain on 2008-05-30 16:46:08 as along with 6 people and 2 groups nkishan jasonasm touryanj rajatr dawanwu davclark Skills, Automaticity and Imaging Methods vision-ng
	Beyond mind-reading: multi-voxel pattern analysis of fMRI data [My Copy] Trends in Cognitive Sciences, Vol. 10, No. 9. (September 2006), pp. 424-430. by K. Norman, S. Polyn, G. Detre, J. Haxby posted to mvpa review by librain on 2008-05-08 09:01:09 as along with 13 people and 2 groups jjrodriguez jmcarp nkishan szielke jasonasm omneuron brian j_hsieh dmd Scis0000002 schulz dianeoyen oyen ilyajune Foresight
	Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex [My Copy] Science, Vol. 293, No. 5539. (28 September 2001), pp. 2425-2430. by James V. Haxby, M. Ida Gobbini, Maura L. Furey, Alumit Ishai, Jennifer L. Schouten, Pietro Pietrini posted to distributed-activation fmri-classification machine-learning mvpa by librain on 2008-04-03 10:32:28 as along with 9 people and 1 group kimlab jjrodriguez jmcarp davclark jasonasm touryanj dmd bhamcnil nkishan Skills, Automaticity and Imaging Methods
	Brain reading using full brain support vector machines for object recognition: There is no "face" identification area [My Copy] Neural Comput., Vol. 20, No. 2. (February 2008), pp. 486-503. by Stephen J. Hanson, Yaroslav O. Halchenko posted to brain-reading fmri fmri-classification mvpa svm by librain on 2008-03-31 15:37:14 as along with 3 people and 1 group jjrodriguez davclark jasonasm Skills, Automaticity and Imaging Methods
	Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex [My Copy] NeuroImage, Vol. 19, No. 2. (June 2003), pp. 261-270. by David D. Cox, Robert L. Savoy posted to decoding fmri fmri-classification linear-discriminant-analysis mindreading multimodal mvpa svm by librain on 2008-03-31 15:26:15 as along with 1 person ITra
	Bayesian decoding of brain images [My Copy] NeuroImage, Vol. 39, No. 1. (01 January 2008), pp. 181-205. by K. Friston, C. Chu, J. Mouraomiranda, et al.O. Hulme, G. Rees, W. Penny, J. Ashburner posted to gaussian-process mvpa by librain on 2008-03-25 14:26:22 as along with 6 people nkishan marrtin decharms manabu-s kaniko elv
	Information-based functional brain mapping. [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 103, No. 10. (7 March 2006), pp. 3863-3868. by N. Kriegeskorte, R. Goebel, P. Bandettini posted to mvpa searchlight by librain on 2008-03-25 14:22:12 as along with 8 people nishiokov viltrio FrankLeone jmcarp ckai1 nkishan jasonasm manabu-s
	Training fMRI Classifiers to Detect Cognitive States across Multiple Human Subjects [My Copy] In International Conference on Neural Information Processing Systems Foundation (2003) by Xuerui Wang, Rebecca Hutchinson, Tom M. Mitchell posted to mvpa by librain on 2008-03-11 17:25:25 as
	Detection of Cognitive States from fMRI data using Machine Learning Techniques [My Copy] In Twentieh International Joint Conference on Artificial Intelligence (2007), pp. 587-592. by V. Singh, K. P. Miyapuram, R. S. Bapi posted to mvpa by librain on 2008-03-11 17:22:13 as
	Decoding human brain activity during real-world experiences [My Copy] Trends in Cognitive Science, Vol. 11, No. 8. (July 2007) by Hugo J. Spiers, Eleanor A. Maguire posted to fmri free-design introduction mvpa real-world by librain on 2008-02-27 09:51:35 as
	Using fMRI Brain Activation to Identify Cognitive States Associated with Perception of Tools and Dwellings [My Copy] PLOS One, Vol. 3, No. 1. (January 2008) by Svetlana V. Shinkareva, Robert A. Mason, Vicente L. Malave, Wei Wang, Tom M. Mitchell, Marcel A. Just posted to cmu fmri mindreading mvpa by librain on 2008-01-04 09:54:05 as
	Cluster-based analysis of FMRI data. [My Copy] Neuroimage, Vol. 33, No. 2. (1 November 2006), pp. 599-608. by R. Heller, D. Stanley, D. Yekutieli, N. Rubin, Y. Benjamini posted to clusters-selection-procedure correlation-similarity mvpa spatio-temporal-clustering voxel-clustering by librain on 2007-07-27 17:13:27 as along with 6 people and 1 group isami pbellec xinian bmw kaniko elv Fiser-Lab
	On Clustering fMRI Time Series [My Copy] NeuroImage, Vol. 9, No. 3. (March 1999), pp. 298-310. by Cyril Goutte, Peter Toft, Egill Rostrup, Finn A. Nielsen, Lars K. Hansen posted to cross-correlation-similarity hierarchical-clustering k-means mvpa voxel-clustering voxel-filtering by librain on 2007-07-27 16:53:08 as along with 2 people ckai1 negar
	Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging [My Copy] IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), Vol. 1 (2005), pp. 1211-1217. by Lei Zhang, Dimitris Samaras, Nora Volkow, Rita Goldstein posted to adaboost clinical-diagnosis fisher-linear-discriminant gaussian-naive-bayes knn mvpa pca subject-classification svm voxel-filtering by librain on 2007-07-26 15:59:27 as
	Decoding mental states from brain activity in humans [My Copy] Nat Rev Neurosci, Vol. 7, No. 7. (July 2006), pp. 523-534. by John-Dylan Haynes, Geraint Rees posted to cognitive-states decoding mvpa review by librain on 2007-07-26 15:25:31 as along with 24 people and 2 groups thorstenkranz flieder jmcarp szielke Scis0000002 nkishan d-koester MEGfun jasonasm omneuron touryanj brian garyfeng sankaku kanair MichaelGaebler adick suizan dimatura cassandragould Torsten_Holmer schulz kristina bibay2004 ReadingLab VisionLab
	Learning to Decode Cognitive States from Brain Images [My Copy] Machine Learning, Vol. 57, No. 1-2. (2004), pp. 145-175. by Tom M. Mitchell, Rebecca Hutchinson, Radu S. Niculescu, et al.Francisco Pereira, Xuerui Wang, Marcel Just, Sharlene Newman edited by Nada Lavrac, Hiroshi Motoda, Tom Fawcett posted to cognitive-states machine-learning mvpa by librain on 2007-07-26 15:07:44 as along with 3 people audreysmurf dimatura schulz

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fmri	52
mvpa	45
dti	24
michele	24
svm	19
eeg	16
fiber-tracking	14
multimodal	14
fiber-clustering	12
hemodynamic-response	12
meg	12
review	11
resampling	10
s2f	10
bold	9
fmri-classification	9
rt-rep	9
supervised-clustering	9
nips2009cini	8
clustering	7
glm	7
rtfmri	7
autocorrelation	6
brain-analysis	6
fiber-bundle	6
graph-clustering	6
haemodynamic-response	6
neuroeconomics	6
blood-flow	5
covariate-shift	5
data-analysis	5
data-fusion	5
event-related	5
feature-selection	5
machine-learning	5
real-time	5
survey	5
applications	4
biclustering	4
classification	4
decoding	4
eeg-fmri	4
hardi	4
ica	4
mindreading	4
reproducibility	4
white-matter-tracks	4
activation-network	3
bayesian	3
bootstrap	3
brainmap	3
brain-reading	3
cognitive-states	3
database	3
dmri	3
elsa	3
introduction	3
mri	3
neuroimaging	3
non-linear	3
oxygenation	3
pattern-classification	3
pca	3
permutation-test	3
pet	3
reliability	3
searchlight	3
trust	3
active-learning	2
adaboost	2
artificial-neural-network	2
avesao	2
balloon-model	2
challanges	2
clinical-diagnosis	2
connectome	2
constrained-eeg-reconstruction	2
data-management	2
dataset	2
dataset-shift	2
detrending	2
diffusionmri	2
event-related-performance-analyis	2
experimental-design	2
face	2
face-perception	2
fisher-linear-discriminant	2
fmri-methods	2
free-design	2
functional-connectivity	2
hbm	2
hbm2009	2
knn	2
linear	2
linear-mapping-of-eeg-to-fmri	2
natural-images	2
neural-networks	2
npairs	2
paolo	2
preprocessing	2
q-ball	2
schizophrenia	2
software	2
spm	2
subject-classification	2
tms	2
transduction	2
transfer-learning	2
tutorial	2
vascular-changes	2
voxel-bundle	2
voxel-clustering	2
voxel-filtering	2
wavelet	2
action	1
activation	1
adaptive-filtering	1
ai	1
alzheimer	1
anatomy	1
ann	1
anterior	1
atlas-bundle	1
attention-shift	1
bias	1
block-design	1
bundle-segmentation	1
canonical-correlation-analysis	1
chemometrics	1
circuits	1
clusters-selection-procedure	1
cmu	1
cognitive-causal-relationships	1
coherence	1
contrast	1
coricelli	1
correlation-similarity	1
cortex	1
cortical	1
cortical-functional-connectivity	1
cross-correlation-similarity	1
curse-of-dimensionality	1
data	1
data-mining	1
data-sharing	1
decision-prediction	1
dics	1
dimensional	1
discriminant-analysis	1
discriminative-learning	1
distributed-activation	1
dml	1
dsi	1
dti-fmri	1
editorial	1
eigenmap	1
erp	1
evaluation	1
face-recognition	1
faces-locations-objects	1
fast-marching	1
fieldtrip	1
fmri-interpretation	1
fnirs	1
fourier	1
gaussian-naive-bayes	1
gaussian-process	1
generalization	1
gpr	1
granger-causality-test	1
group-analysis	1
hbi	1
healty-subjects	1
hemodynamic-model	1
hierarchical-clustering	1
high-resolution-fmri	1
human-interactions	1
imbalanced	1
independent-comonent-analysis	1
information-filtering	1
input-selection	1
judgements	1
kernel	1
k-means	1
laplacian	1
lie-detection	1
linear-discriminant-analysis	1
management	1
meaning	1
memory	1
memory-recall	1
meta-analysis	1
microhotplate-sensor-array	1
mild-traumatic-brain-injury	1
mirror	1
model-selection	1
music-cognition	1
naive-bayes	1
nirs	1
nypy	1
pairwise	1
parallel-factor-analysis	1
parietal	1
partial-least-squares-analysis	1
patient	1
patter-classification	1
pbaic	1
pbc2009	1
peer-review	1
perception	1
piazza	1
prediction	1
q-space	1
real-world	1
receptive-fields	1
reciprocal-exchange	1
recurrent-neural-networks	1
reduction	1
refractory-period	1
regions-of-interest	1
rehabilitation	1
relaxation-time	1
relief	1
representation	1
reputation	1
resting-state	1
reverse-inference	1
riferimento-storico	1
roi	1
semisupervised-learning	1
signal-noise-ratio-analysis	1
signal-variation	1
similarity_function	1
social	1
socioeconomics	1
spatial-filtering	1
spatial-resolution	1
spatio-temporal-clustering	1
spline	1
statistics	1
stimulation	1
stroke-recovery	1
structural-connectivity	1
structured-prediction	1
subspace-regularization	1
susanne	1
synchronization	1
temporal-resolution	1
tensors	1
testbed	1
tracts	1
user-profile	1
visual	1
visual-cortex	1
volterra-kernels	1
volume-changes	1
voxels-clustering	1
whole-brain	1

librain's mvpa [45 articles] Export

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