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ORCIDScott T. Grafton
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- affiliation: University of California, Santa Barbara, Department of Psychological and Brain Sciences, CA, USA
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2020 – today
- 2024
[j48]Jaron T. Colas
, John P. O'Doherty, Scott T. Grafton:
Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts. PLoS Comput. Biol. 20(3): 1011950 (2024)- [j47]Alexander P. Boone, Tom Bullock, Mary H. MacLean, Tyler Santander, Jamie Raymer, Alexander Stuber, Liann Jimmons, Gold N. Okafor, Scott T. Grafton, Michael B. Miller, Barry Giesbrecht, Mary Hegarty:
Resilience of navigation strategy and efficiency to the impact of acute stress. Spatial Cogn. Comput. 24(3): 195-226 (2024) - 2023
- [j46]S. Shailja, Vikram Bhagavatula, Matthew Cieslak, Jean M. Vettel, Scott T. Grafton, B. S. Manjunath:
ReeBundle: A Method for Topological Modeling of White Matter Pathways Using Diffusion MRI. IEEE Trans. Medical Imaging 42(12): 3725-3737 (2023) - [c18]S. Shailja, Jefferson W. Chen, Scott T. Grafton, B. S. Manjunath:
ReTrace: Topological Evaluation of White Matter Tractography Algorithms Using Reeb Graphs. CDMRI@MICCAI 2023: 177-191 - 2022
- [c17]Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers. CVPR 2022: 10503-10512 - [c16]Sikun Lin, Shuyun Tang, Scott T. Grafton, Ambuj K. Singh:
Deep Representations for Time-varying Brain Datasets. KDD 2022: 999-1009 - [i12]Sikun Lin, Shuyun Tang, Scott T. Grafton, Ambuj K. Singh:
Deep Representations for Time-varying Brain Datasets. CoRR abs/2205.11648 (2022) - 2021
- [c15]Satish Kumar, A. S. M. Iftekhar, Michael Goebel, Tom Bullock, Mary H. MacLean, Michael B. Miller, Tyler Santander, Barry Giesbrecht, Scott T. Grafton, B. S. Manjunath:
StressNet: Detecting Stress in Thermal Videos. WACV 2021: 998-1008 - [i11]Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Language-based Video Editing via Multi-Modal Multi-Level Transformer. CoRR abs/2104.01122 (2021) - 2020
- [j45]Laura Pritschet, Tyler Santander, Caitlin M. Taylor, Evan Layher, Shuying Yu, Michael B. Miller, Scott T. Grafton, Emily G. Jacobs:
Functional reorganization of brain networks across the human menstrual cycle. NeuroImage 220: 117091 (2020) - [j44]Caitlin M. Taylor, Laura Pritschet, Rosanna K. Olsen, Evan Layher, Tyler Santander, Scott T. Grafton, Emily G. Jacobs:
Progesterone shapes medial temporal lobe volume across the human menstrual cycle. NeuroImage 220: 117125 (2020) - [c14]Tsu-Jui Fu, Xin Eric Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler. ECCV (6) 2020: 71-86 - [c13]Tsu-Jui Fu, Xin Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. EMNLP (1) 2020: 4413-4422 - [i10]Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. CoRR abs/2009.09566 (2020) - [i9]Satish Kumar, A. S. M. Iftekhar, Michael Goebel, Tom Bullock, Mary H. MacLean, Michael B. Miller, Tyler Santander, Barry Giesbrecht, Scott T. Grafton, B. S. Manjunath:
StressNet: Detecting Stress in Thermal Videos. CoRR abs/2011.09540 (2020)
2010 – 2019
- 2019
- [j43]Brian A. Mitchell, Nina Lauharatanahirun, Javier O. Garcia, Nicholas F. Wymbs, Scott T. Grafton, Jean M. Vettel, Linda R. Petzold:
A Minimum Free Energy Model of Motor Learning. Neural Comput. 31(10): 1945-1963 (2019) - [i8]Haraldur Tómas Hallgrímsson, Richika Sharan, Scott T. Grafton, Ambuj K. Singh:
Estimating localized complexity of white-matter wiring with GANs. CoRR abs/1910.04868 (2019) - [i7]Tsu-Jui Fu, Xin Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling. CoRR abs/1911.07308 (2019) - 2018
- [j42]Ankit N. Khambhati, Marcelo Gomes Mattar, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett:
Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration. NeuroImage 166: 385-399 (2018) - [j41]Matthew Cieslak, Tegan Brennan, Wendy Meiring, Lukas J. Volz, Clint Greene, Alexander Asturias, Subhash Suri, Scott T. Grafton:
Analytic tractography: A closed-form solution for estimating local white matter connectivity with diffusion MRI. NeuroImage 169: 473-484 (2018) - [j40]Pranav G. Reddy, Marcelo Gomes Mattar, Andrew C. Murphy, Nicholas F. Wymbs, Scott T. Grafton, Theodore D. Satterthwaite, Danielle S. Bassett:
Brain state flexibility accompanies motor-skill acquisition. NeuroImage 171: 135-147 (2018) - [j39]Marcelo Gomes Mattar, Nicholas F. Wymbs, Andrew S. Bock, Geoffrey Karl Aguirre, Scott T. Grafton, Danielle S. Bassett:
Predicting future learning from baseline network architecture. NeuroImage 172: 107-117 (2018) - [j38]Haraldur Tómas Hallgrímsson, Matthew Cieslak, Luca Foschini, Scott T. Grafton, Ambuj K. Singh:
Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity. NeuroImage 172: 390-403 (2018) - [j37]Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton:
Clustering Brain-Network Time Series by Riemannian Geometry. IEEE Trans. Signal Inf. Process. over Networks 4(3): 519-533 (2018) - [c12]Matthew Cieslak, Wendy Meiring, Tegan Brennan, Clint Greene, Lukas J. Volz, Jean M. Vettel, Subhash Suri, Scott T. Grafton:
Compositional measures of diffusion anisotropy and asymmetry. ISBI 2018: 123-126 - [i6]Haraldur Tómas Hallgrímsson, Matthew Cieslak, Luca Foschini, Scott T. Grafton, Ambuj K. Singh:
Spatial Coherence of Oriented White Matter Microstructure: Applications to White Matter Regions Associated with Genetic Similarity. CoRR abs/1802.05342 (2018) - 2017
- [j36]Shi Gu, Richard F. Betzel, Marcelo Gomes Mattar, Matthew Cieslak, Philip R. Delio, Scott T. Grafton, Fabio Pasqualetti, Danielle S. Bassett:
Optimal trajectories of brain state transitions. NeuroImage 148: 305-317 (2017) - [c11]John D. Ralston, Jonathan Woodard, Matthew Cieslak, Alex Asturias, Wendy Meiring, Scott T. Grafton:
A candidate neuromechanical biomarker and dosimeter for monitoring cumulative head impact trauma. BHI 2017: 397-400 - [c10]Leah Goldsberry, Weiyu Huang, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro:
Brain signal analytics from graph signal processing perspective. ICASSP 2017: 851-855 - [c9]John D. Ralston, Wendy Meiring, Matthew Cieslak, Alex Asturias, Scott T. Grafton:
Wearable sensors for head impact dosimetry. IEEE SENSORS 2017: 1-3 - [c8]Xuan-Hong Dang, Hongyuan You, Ambuj K. Singh, Scott T. Grafton:
Subnetwork Mining with Spatial and Temporal Smoothness. SDM 2017: 354-362 - [i5]Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton:
Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case. CoRR abs/1701.07767 (2017) - 2016
- [j35]Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro:
Graph Frequency Analysis of Brain Signals. IEEE J. Sel. Top. Signal Process. 10(7): 1189-1203 (2016) - [j34]Qawi K. Telesford, Mary-Ellen Lynall, Jean M. Vettel, Michael B. Miller, Scott T. Grafton, Danielle S. Bassett:
Detection of functional brain network reconfiguration during task-driven cognitive states. NeuroImage 142: 198-210 (2016) - [j33]Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu, Matthew Cieslak, Scott T. Grafton, Jean M. Vettel, Danielle S. Bassett:
Stimulation-Based Control of Dynamic Brain Networks. PLoS Comput. Biol. 12(9) (2016) - [j32]Elizabeth N. Davison, Benjamin O. Turner, Kimberly J. Schlesinger, Michael B. Miller, Scott T. Grafton, Danielle S. Bassett, Jean M. Carlson:
Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan. PLoS Comput. Biol. 12(11) (2016) - [j31]Fang-Cheng Yeh, Jean M. Vettel, Aarti Singh, Barnabás Póczos, Scott T. Grafton, Kirk I. Erickson, Wen-Yih Isaac Tseng, Timothy D. Verstynen:
Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints. PLoS Comput. Biol. 12(11) (2016) - [c7]Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton:
Clustering brain-network-connectivity states using kernel partial correlations. ACSSC 2016: 268-272 - [i4]Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu, Matthew Cieslak, Scott T. Grafton, Jean M. Vettel, Danielle S. Bassett:
Stimulation-based control of dynamic brain networks. CoRR abs/1601.00987 (2016) - 2015
- [j30]Benjamin Baird, Matthew Cieslak, Jonathan Smallwood, Scott T. Grafton, Jonathan W. Schooler:
Regional White Matter Variation Associated with Domain-specific Metacognitive Accuracy. J. Cogn. Neurosci. 27(3): 440-452 (2015) - [j29]Taraz G. Lee, Scott T. Grafton:
Out of control: Diminished prefrontal activity coincides with impaired motor performance due to choking under pressure. NeuroImage 105: 145-155 (2015) - [j28]Elizabeth N. Davison, Kimberly J. Schlesinger, Danielle S. Bassett, Mary-Ellen Lynall, Michael B. Miller, Scott T. Grafton, Jean M. Carlson:
Brain Network Adaptability across Task States. PLoS Comput. Biol. 11(1) (2015) - [c6]Jonathan Sun, Matthew Cieslak, Scott T. Grafton, Subhash Suri:
A reeb graph approach to tractography. SIGSPATIAL/GIS 2015: 58:1-58:4 - [i3]Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro:
Graph Frequency Analysis of Brain Signals. CoRR abs/1512.00037 (2015) - 2014
- [j27]Ann M. Hermundstad, Kevin S. Brown, Danielle S. Bassett, Elissa M. Aminoff, Amy Frithsen, Arianne Johnson, Christine M. Tipper, Michael B. Miller, Scott T. Grafton, Jean M. Carlson:
Structurally-Constrained Relationships between Cognitive States in the Human Brain. PLoS Comput. Biol. 10(5) (2014) - [i2]Shi Gu, Fabio Pasqualetti, Matthew Cieslak, Scott T. Grafton, Danielle S. Bassett:
Controllability of Brain Networks. CoRR abs/1406.5197 (2014) - 2013
- [j26]Alexander V. Mantzaris, Danielle S. Bassett, Nicholas F. Wymbs, Ernesto Estrada, Mason A. Porter, Peter J. Mucha, Scott T. Grafton, Desmond J. Higham:
Dynamic network centrality summarizes learning in the human brain. J. Complex Networks 1(1): 83-92 (2013) - [j25]Jonathan Smallwood, Christine M. Tipper, Kevin S. Brown, Benjamin Baird, Haakon G. Engen, Joseph R. Michaels, Scott T. Grafton, Jonathan W. Schooler:
Escaping the here and now: Evidence for a role of the default mode network in perceptually decoupled thought. NeuroImage 69: 120-125 (2013) - [j24]Danielle S. Bassett, Nicholas F. Wymbs, M. Puck Rombach, Mason A. Porter, Peter J. Mucha, Scott T. Grafton:
Task-Based Core-Periphery Organization of Human Brain Dynamics. PLoS Comput. Biol. 9(9) (2013) - 2012
- [j23]Raja Parasuraman, James C. Christensen, Scott T. Grafton:
Neuroergonomics: The brain in action and at work. NeuroImage 59(1): 1-3 (2012) - [j22]Scott T. Grafton, Christine M. Tipper:
Decoding intention: A neuroergonomic perspective. NeuroImage 59(1): 14-24 (2012) - [j21]Reuben H. Kraft, Phillip Justin Mckee, Amy M. Dagro, Scott T. Grafton:
Combining the Finite Element Method with Structural Connectome-based Analysis for Modeling Neurotrauma: Connectome Neurotrauma Mechanics. PLoS Comput. Biol. 8(8) (2012) - [c5]Arianne Johnson, Scott T. Grafton:
Qualitative differences in sequence planning with everyday objects in traumatic brain injured individuals. CogSci 2012 - [c4]Shanmugavadivel Karthikeyan, Swapna Joshi, B. S. Manjunath, Scott T. Grafton:
Intra-class multi-output regression based subspace analysis. ICIP 2012: 1173-1176 - [i1]Danielle S. Bassett, Mason A. Porter, Nicholas F. Wymbs, Scott T. Grafton, Jean M. Carlson, Peter J. Mucha:
Robust Detection of Dynamic Community Structure in Networks. CoRR abs/1206.4358 (2012) - 2011
- [j20]Danielle S. Bassett, Jesse A. Brown, Vibhas Deshpande, Jean M. Carlson, Scott T. Grafton:
Conserved and variable architecture of human white matter connectivity. NeuroImage 54(2): 1262-1279 (2011) - [c3]Shanmugavadivel Karthikeyan, Utkarsh Gaur, Bangalore S. Manjunath, Scott T. Grafton:
Probabilistic subspace-based learning of shape dynamics modes for multi-view action recognition. ICCV Workshops 2011: 1282-1286 - [c2]Karthikeyan Shanmuga Vadivel, Mehmet Emre Sargin, Swapna Joshi, B. S. Manjunath, Scott T. Grafton:
Generalized subspace based high dimensional density estimation. ICIP 2011: 1849-1852 - 2010
- [j19]Kevin S. Brown, Stephanie Ortigue, Scott T. Grafton, Jean M. Carlson:
Improving human brain mapping via joint inversion of brain electrodynamics and the BOLD signal. NeuroImage 49(3): 2401-2415 (2010) - [c1]Swapna Joshi, Shanmugavadivel Karthikeyan, B. S. Manjunath, Scott T. Grafton, Kent A. Kiehl:
Anatomical parts-based regression using non-negative matrix factorization. CVPR 2010: 2863-2870
2000 – 2009
- 2009
- [j18]Amanda Bischoff-Grethe, Eliot Hazeltine, Lindsey Bergren, Richard B. Ivry, Scott T. Grafton:
The influence of feedback valence in associative learning. NeuroImage 44(1): 243-251 (2009) - [j17]Ted Brookings, Stephanie Ortigue, Scott T. Grafton, Jean M. Carlson:
Using ICA and realistic BOLD models to obtain joint EEG/fMRI solutions to the problem of source localization. NeuroImage 44(2): 411-420 (2009) - [j16]Eugene Tunik, James C. Houk, Scott T. Grafton:
Basal ganglia contribution to the initiation of corrective submovements. NeuroImage 47(4): 1757-1766 (2009) - 2008
- [j15]Scott T. Grafton, Paul J. Schmitt, John D. Van Horn, Jörn Diedrichsen:
Neural substrates of visuomotor learning based on improved feedback control and prediction. NeuroImage 39(3): 1383-1395 (2008) - 2007
- [j14]Roger D. Newman-Norlund, Scott H. Frey, Laura-Ann Petitto, Scott T. Grafton:
Anatomical Substrates of Visual and Auditory Miniature Second-language Learning. J. Cogn. Neurosci. 19(4): 1984-1997 (2007) - [j13]Stephanie Ortigue, Francesco Bianchi-Demicheli, Antonia F. de C. Hamilton, Scott T. Grafton:
The Neural Basis of Love as a Subliminal Prime: An Event-related Functional Magnetic Resonance Imaging Study. J. Cogn. Neurosci. 19(7): 1218-1230 (2007) - [j12]Emily S. Cross, Paul J. Schmitt, Scott T. Grafton:
Neural Substrates of Contextual Interference during Motor Learning Support a Model of Active Preparation. J. Cogn. Neurosci. 19(11): 1854-1871 (2007) - [j11]Stephanie Ortigue, Scott T. Grafton, Francesco Bianchi-Demicheli:
Correlation between insula activation and self-reported quality of orgasm in women. NeuroImage 37(2): 551-560 (2007) - 2006
- [j10]Jana Schaich Borg, Catherine Hynes, John D. Van Horn, Scott T. Grafton, Walter Sinnott-Armstrong:
Consequences, Action, and Intention as Factors in Moral Judgments: An fMRI Investigation. J. Cogn. Neurosci. 18(5): 803-817 (2006) - [j9]Roger D. Newman-Norlund, Scott H. Frey, Laura-Ann Petitto, Scott T. Grafton:
Anatomical Substrates of Visual and Auditory Miniature Second-language Learning. J. Cogn. Neurosci. 18(12): 1984-1997 (2006) - [j8]Antonia F. de C. Hamilton, Daniel M. Wolpert, Uta Frith, Scott T. Grafton:
Where does your own action influence your perception of another person's action in the brain? NeuroImage 29(2): 524-535 (2006) - [j7]John Darrell Van Horn, Melana Yanos, Paul J. Schmitt, Scott T. Grafton:
Alcohol-induced suppression of BOLD activity during goal-directed visuomotor performance. NeuroImage 31(3): 1209-1221 (2006) - [j6]Emily S. Cross, Antonia F. de C. Hamilton, Scott T. Grafton:
Building a motor simulation de novo: Observation of dance by dancers. NeuroImage 31(3): 1257-1267 (2006) - 2005
- [j5]Todd C. Handy, Jana Schaich Borg, David J. Turk, Christine M. Tipper, Scott T. Grafton, Michael S. Gazzaniga:
Placing a tool in the spotlight: spatial attention modulates visuomotor responses in cortex. NeuroImage 26(1): 266-276 (2005) - 2004
- [j4]Kenneth R. Leslie, Scott H. Johnson-Frey, Scott T. Grafton:
Functional imaging of face and hand imitation: towards a motor theory of empathy. NeuroImage 21(2): 601-607 (2004) - [j3]David J. Turk, Jane F. Banfield, Bobbi R. Walling, Todd F. Heatherton, Scott T. Grafton, Todd C. Handy, Michael S. Gazzaniga, C. Neil Macrae:
From facial cue to dinner for two: the neural substrates of personal choice. NeuroImage 22(3): 1281-1290 (2004) - 2003
- [j2]Robert S. Turner, Scott T. Grafton, Anthony R. McIntosh, Mahlon R. DeLong, John M. Hoffman:
The functional anatomy of parkinsonian bradykinesia. NeuroImage 19(1): 163-179 (2003) - 2002
- [j1]S. H. Johnson, Michael Rotte, Scott T. Grafton, Hermann Hinrichs, Michael S. Gazzaniga, Hans-Jochen Heinze:
Selective Activation of a Parietofrontal Circuit during Implicitly Imagined Prehension. NeuroImage 17(4): 1693-1704 (2002)
Coauthor Index
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