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Vani Pariyadath
Vani Pariyadath
National Institute on Drug Abuse, National Institutes of Health
Verified email at nih.gov
Title
Cited by
Cited by
Year
Image processing and analysis methods for the Adolescent Brain Cognitive Development Study
DJ Hagler Jr, SN Hatton, MD Cornejo, C Makowski, DA Fair, AS Dick, ...
Neuroimage 202, 116091, 2019
5392019
Resting state functional connectivity in addiction: Lessons learned and a road ahead
MT Sutherland, MJ McHugh, V Pariyadath, EA Stein
Neuroimage 62 (4), 2281-2295, 2012
4992012
The effect of predictability on subjective duration
V Pariyadath, D Eagleman
PloS one 2 (11), e1264, 2007
3672007
Is subjective duration a signature of coding efficiency?
DM Eagleman, V Pariyadath
Philosophical Transactions of the Royal Society B: Biological Sciences 364 …, 2009
3442009
Meaningful associations in the adolescent brain cognitive development study
AS Dick, DA Lopez, AL Watts, S Heeringa, C Reuter, H Bartsch, CC Fan, ...
NeuroImage 239, 118262, 2021
1252021
Brief subjective durations contract with repetition
V Pariyadath, DM Eagleman
Journal of vision 8 (16), 11-11, 2008
832008
Subjective duration distortions mirror neural repetition suppression
V Pariyadath, DM Eagleman
PLoS One 7 (12), e49362, 2012
812012
Machine learning classification of resting state functional connectivity predicts smoking status
V Pariyadath, EA Stein, TJ Ross
Frontiers in human neuroscience 8, 425, 2014
762014
Resting state functional connectivity analysis for addiction medicine: from individual loci to complex networks
V Pariyadath, JL Gowin, EA Stein
Progress in brain research 224, 155-173, 2016
582016
Neural correlates of subsecond time distortion in the middle temporal area of visual cortex
NG Sadeghi, V Pariyadath, S Apte, DM Eagleman, EP Cook
Journal of Cognitive Neuroscience 23 (12), 3829-3840, 2011
522011
Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. NeuroImage, 202, Article 116091
DJ Hagler Jr, S Hatton, MD Cornejo, C Makowski, DA Fair, AS Dick, ...
282019
Why overlearned sequences are special: distinct neural networks in the right hemisphere for ordinal sequences
V Pariyadath, S Churchill, D Eagleman
Nature Precedings, 1-1, 2008
172008
Device and method for rapid measurement of repetition suppression in the brain
DM Eagleman, V Pariyadath
US Patent 8,343,066, 2013
142013
Why overlearned sequences are special: distinct neural networks for ordinal sequences
V Pariyadath, MH Plitt, SJ Churchill, DM Eagleman
Frontiers in human neuroscience 6, 328, 2012
142012
Dissociating sensory and motor components of inhibition of return
AB Sereno, CB Jeter, V Pariyadath, KA Briand
TheScientificWorldJOURNAL 6, 862-887, 2006
102006
Timing judgments in schizophrenia
SK Gandhi, V Pariyadath, AA Wassef, DM Eagleman
Society for Neuroscience abstract, San Diego, CA 806, 2007
52007
Acknowledging Lack of Inclusion in Genetic Analyses
V Pariyadath
JAMA Psychiatry 80 (6), 647, 2023
22023
Predictability engenders more efficient neural responses
D Eagleman, V Pariyadath, S Churchill
Nature Precedings, 1-1, 2009
22009
GraPHIA: a computational model for identifying phonological jokes
N Srinivasan, V Pariyadath
Cognitive processing 10, 1-6, 2009
12009
Dissecting the frog: computational approaches to humor perception
N Srinivasan, V Pariyadath
Advances in cognitive science 1, 199-215, 2008
12008
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Articles 1–20