| An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data TD Satterthwaite, MA Elliott, RT Gerraty, K Ruparel, J Loughead, ... Neuroimage 64, 240-256, 2013 | 1701 | 2013 |
| A meta-analytic investigation of neurocognitive deficits in bipolar illness: profile and effects of clinical state. MM Kurtz, RT Gerraty Neuropsychology 23 (5), 551, 2009 | 528 | 2009 |
| Being right is its own reward: load and performance related ventral striatum activation to correct responses during a working memory task in youth TD Satterthwaite, K Ruparel, J Loughead, MA Elliott, RT Gerraty, ... Neuroimage 61 (3), 723-729, 2012 | 172 | 2012 |
| Dynamic flexibility in striatal-cortical circuits supports reinforcement learning RT Gerraty, JY Davidow, K Foerde, A Galvan, DS Bassett, D Shohamy Journal of Neuroscience 38 (10), 2442-2453, 2018 | 103 | 2018 |
| Transfer of learning relates to intrinsic connectivity between hippocampus, ventromedial prefrontal cortex, and large-scale networks RT Gerraty, JY Davidow, GE Wimmer, I Kahn, D Shohamy Journal of Neuroscience 34 (34), 11297-11303, 2014 | 94 | 2014 |
| Neuroimaging predictors of cognitive performance across a standardized neurocognitive battery. DR Roalf, K Ruparel, RE Gur, W Bilker, R Gerraty, MA Elliott, ... Neuropsychology 28 (2), 161, 2014 | 83 | 2014 |
| Age‐related differences in working memory deficits during nicotine withdrawal M Falcone, EP Wileyto, K Ruparel, RT Gerraty, L LaPrate, JA Detre, R Gur, ... Addiction biology 19 (5), 907-917, 2014 | 53 | 2014 |
| Striatal intrinsic reinforcement signals during recognition memory: relationship to response bias and dysregulation in schizophrenia DH Wolf, RT Gerraty, TD Satterthwaite, J Loughead, T Campellone, ... Frontiers in Behavioral Neuroscience, 67, 2011 | 27 | 2011 |
| Brain atrophy can introduce age‐related differences in BOLD response X Liu, RT Gerraty, J Grinband, D Parker, QR Razlighi Human brain mapping 38 (7), 3402-3414, 2017 | 22 | 2017 |
| Machine learning within the Parkinson’s Progression Markers Initiative: Review of the current state of affairs RT Gerraty, A Provost, L Li, E Wagner, M Haas, L Lancashire Frontiers in Aging Neuroscience 15, 47, 2023 | 11 | 2023 |
| Hierarchical Bayesian models of reinforcement learning: Introduction and comparison to alternative methods C van Geen, RT Gerraty Journal of Mathematical Psychology 105, 102602, 2021 | 8 | 2021 |
| Reinforcement learning with associative or discriminative generalization across states and actions: fMRI at 3 T and 7 T JT Colas, NM Dundon, RT Gerraty, NM Saragosa‐Harris, KP Szymula, ... Human Brain Mapping 43 (15), 4750-4790, 2022 | 6 | 2022 |
| Source Invariance and Probabilistic Transfer: A Testable Theory of Probabilistic Neural Representations S Lippl, R Gerraty, J Morrison, N Kriegeskorte arXiv preprint arXiv:2404.08101, 2024 | | 2024 |
| Probabilistic representations should be defined by their computational role: reply to Rahnev et al. 2021 R Gerraty, S Lippl, J Morrison, N Kriegeskorte PsyArXiv, 2021 | | 2021 |
| Dopamine modulates learning-related changes in dynamic striatal-cortical connectivity in Parkinson’s disease RT Gerraty, ME Sharp, A Buch, DS Bassett, D Shohamy bioRxiv, 619478, 2019 | | 2019 |
| Brain network mechanisms in learning behavior RT Gerraty Columbia University, 2018 | | 2018 |
| Optimal signal recovery from interleaved FMRI data D Parker, RT Gerraty, QR Razlighi 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1372-1375, 2015 | | 2015 |
| Brain Atrophy Accounts for Age-Related Differences in Hemodynamic Impulse Response Function from Auditory Cortex RT Gerraty, DB Parker, A Kangarlu, QR Razlighi | | |
Ruben GurUniversity of Pennsylvania upenn.edu üzerinde doğrulanmış e-posta adresine sahip
