| Year |
Citation |
Score |
| 2021 |
Dick AS, Lopez DA, Watts AL, Heeringa S, Reuter C, Bartsch H, Fan CC, Kennedy DN, Palmer C, Marshall A, Haist F, Hawes S, Nichols TE, Barch DM, Jernigan TL, ... ... Pariyadath V, et al. Meaningful Associations in the Adolescent Brain Cognitive Development Study. Neuroimage. 118262. PMID 34147629 DOI: 10.1016/j.neuroimage.2021.118262 |
0.406 |
|
| 2019 |
Hagler DJ, Hatton S, Cornejo MD, Makowski C, Fair DA, Dick AS, Sutherland MT, Casey BJ, Barch DM, Harms MP, Watts R, Bjork JM, Garavan HP, Hilmer L, Pung CJ, ... ... Pariyadath V, et al. Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. Neuroimage. 116091. PMID 31415884 DOI: 10.1016/J.Neuroimage.2019.116091 |
0.646 |
|
| 2016 |
Pariyadath V, Gowin JL, Stein EA. Resting state functional connectivity analysis for addiction medicine: From individual loci to complex networks. Progress in Brain Research. 224: 155-73. PMID 26822358 DOI: 10.1016/bs.pbr.2015.07.015 |
0.551 |
|
| 2014 |
Pariyadath V, Stein EA, Ross TJ. Machine learning classification of resting state functional connectivity predicts smoking status. Frontiers in Human Neuroscience. 8: 425. PMID 24982629 DOI: 10.3389/fnhum.2014.00425 |
0.532 |
|
| 2012 |
Pariyadath V, Plitt MH, Churchill SJ, Eagleman DM. Why overlearned sequences are special: distinct neural networks for ordinal sequences. Frontiers in Human Neuroscience. 6: 328. PMID 23267320 DOI: 10.3389/Fnhum.2012.00328 |
0.635 |
|
| 2012 |
Pariyadath V, Eagleman DM. Subjective duration distortions mirror neural repetition suppression. Plos One. 7: e49362. PMID 23251340 DOI: 10.1371/journal.pone.0049362 |
0.653 |
|
| 2012 |
Sutherland MT, McHugh MJ, Pariyadath V, Stein EA. Resting state functional connectivity in addiction: Lessons learned and a road ahead. Neuroimage. 62: 2281-95. PMID 22326834 DOI: 10.1016/J.Neuroimage.2012.01.117 |
0.619 |
|
| 2011 |
Sadeghi NG, Pariyadath V, Apte S, Eagleman DM, Cook EP. Neural correlates of subsecond time distortion in the middle temporal area of visual cortex. Journal of Cognitive Neuroscience. 23: 3829-40. PMID 21671739 DOI: 10.1162/jocn_a_00071 |
0.627 |
|
| 2010 |
Pariyadath V, Eagleman D. Using the proliferation effect to study subjective duration at brief timescales Journal of Vision. 9: 1089-1089. DOI: 10.1167/9.8.1089 |
0.589 |
|
| 2009 |
Eagleman DM, Pariyadath V. Is subjective duration a signature of coding efficiency? Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 364: 1841-51. PMID 19487187 DOI: 10.1098/rstb.2009.0026 |
0.628 |
|
| 2009 |
Srinivasan N, Pariyadath V. GraPHIA: a computational model for identifying phonological jokes. Cognitive Processing. 10: 1-6. PMID 18618159 DOI: 10.1007/s10339-008-0221-3 |
0.568 |
|
| 2009 |
Eagleman DM, Pariyadath V, Churchill SJ. Predictability engenders more efficient neural responses Nature Precedings. 4: 1-1. DOI: 10.1038/Npre.2009.2847.1 |
0.39 |
|
| 2008 |
Pariyadath V, Eagleman DM. Brief subjective durations contract with repetition. Journal of Vision. 8: 11.1-6. PMID 19146277 DOI: 10.1167/8.16.11 |
0.655 |
|
| 2008 |
Pariyadath V, Churchill SJ, Eagleman DM. Why overlearned sequences are special: distinct neural networks in the right hemisphere for ordinal sequences Nature Precedings. DOI: 10.1038/Npre.2008.2452.1 |
0.319 |
|
| 2007 |
Pariyadath V, Eagleman D. The effect of predictability on subjective duration. Plos One. 2: e1264. PMID 18043760 DOI: 10.1371/journal.pone.0001264 |
0.645 |
|
| 2006 |
Sereno AB, Jeter CB, Pariyadath V, Briand KA. Dissociating sensory and motor components of inhibition of return. Thescientificworldjournal. 6: 862-87. PMID 16878271 DOI: 10.1100/tsw.2006.172 |
0.624 |
|
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