Vani Pariyadath
Vani Pariyadath
National Institute on Drug Abuse, National Institutes of Health
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Cited by
Cited by
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
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
The effect of predictability on subjective duration
V Pariyadath, D Eagleman
PloS one 2 (11), e1264, 2007
Is subjective duration a signature of coding efficiency?
DM Eagleman, V Pariyadath
Philosophical Transactions of the Royal Society B: Biological Sciences 364 …, 2009
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
Brief subjective durations contract with repetition
V Pariyadath, DM Eagleman
Journal of vision 8 (16), 11-11, 2008
Subjective duration distortions mirror neural repetition suppression
V Pariyadath, DM Eagleman
PLoS One 7 (12), e49362, 2012
Machine learning classification of resting state functional connectivity predicts smoking status
V Pariyadath, EA Stein, TJ Ross
Frontiers in human neuroscience 8, 425, 2014
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
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
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, ...
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
Device and method for rapid measurement of repetition suppression in the brain
DM Eagleman, V Pariyadath
US Patent 8,343,066, 2013
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
Dissociating sensory and motor components of inhibition of return
AB Sereno, CB Jeter, V Pariyadath, KA Briand
TheScientificWorldJOURNAL 6, 862-887, 2006
Timing judgments in schizophrenia
SK Gandhi, V Pariyadath, AA Wassef, DM Eagleman
Society for Neuroscience abstract, San Diego, CA 806, 2007
Acknowledging Lack of Inclusion in Genetic Analyses
V Pariyadath
JAMA Psychiatry 80 (6), 647, 2023
Predictability engenders more efficient neural responses
D Eagleman, V Pariyadath, S Churchill
Nature Precedings, 1-1, 2009
GraPHIA: a computational model for identifying phonological jokes
N Srinivasan, V Pariyadath
Cognitive processing 10, 1-6, 2009
Dissecting the frog: computational approaches to humor perception
N Srinivasan, V Pariyadath
Advances in cognitive science 1, 199-215, 2008
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