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Photo of Scott Grafton

Scott Grafton

ICB Cognitive Neuroscience Co-Leader
Bedrosian-Coyne Presidential Chair, Neuroscience
Director, Brain Imaging Center
Distinguished Professor
Psychological & Brain Sciences
UC Santa Barbara
Phone:
+1 805-975-5272
Email:
grafton@psych.ucsb.edu
Website:
Website

Research Focus Areas

Research Interests

Characterize the neural substrates of observed or executed goal-oriented action. Use of fMRI and EEG measures of brain activity to predict and augment motor performance and to accelerate learning.

News

Displaying 1 - 20 of 77

ICB Supported Publications

Non-invasive monitoring of cardiac contractility: Trans-radial electrical bioimpedance velocimetry (TREV)

Alexandra Stump, Caitlin Gregory, Viktoriya Babenko, Elizabeth Rizor, Tom Bullock, Alan Macy, Barry Giesbrecht, Scott T. Grafton, Neil M. Dundon
Psychophysiology,
10.1111/psyp.14411

Interhemispheric structural connectivity underlies motor recovery after stroke

Paul T, Wiemer VM, Hensel L, Cieslak M, Tscherpel C, Grefkes C, Grafton ST, Fink GR, Volz LJ.
Annals of Neurology,
10.1002/ana.26737

Decision heuristics in contexts integrating action selection and execution

Dundon, NM, Colas JT, Garrett N, Babenko V, Rizor E, Yang D, MacNamara M, Petzold L, Grafton ST.
Scientific Reports,
10.1038/s41598-023-33008-2

Habituation of the stress response multiplex to repeated cold pressor exposure

Bullock T, MacLean MH, Santander T, Boone AP, Babenko V, Dundon NM, Stuber A, Jimmons L, Raymer J, Okafor GN, Miller MB, Giesbrecht B and Grafton ST
Frontiers in Physiology,
10.3389/fphys.2022.752900

The role of corticospinal and extrapyramidal pathways in motor impairment after stroke

Theresa Paul,  Matthew Cieslak,  Lukas Hensel,  Valerie M Wiemer,  Christian Grefkes, Scott T Grafton,  Gereon R Fink,  Lukas J Volz
Brain Communications,
10.1093/braincomms/fcac301

Reinforcement learning with associative or discriminative generalization across states and actions: fMRI at 3T and 7T

Jaron T. Colas, Neil M. Dundon, Raphael T. Gerraty, Natalie M. Saragosa-Harris, Karol P. Szymula, Koranis Tanwisuth, J. Michael Tyszka, Camilla van Geen, Harang Ju, Arthur W. Toga, Joshua I. Gold, Dani S. Bassett, Catherine A. Hartley, Daphna Shohamy, Scott T. Grafton, John P. O'Doherty
Human Brain Mapping,
10.1002/hbm.25988

M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers

Tsu-Jui Fu, Xin Eric Wang, Scott Grafton, Miguel Eckstein, William Yang Wang
Proceedings of Thirty-Third IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
10.48550/arXiv.2104.01122

Trans-Radial Electrical Bioimpedance Velocimetry: A Novel Method for Detecting Cardiac Contractility

Alexandra I. Stump, Neil M. Dundon, Viktoriya Babenko, Alan Macy, Scott T. Grafton
bioRxiv ,
10.1101/2022.06.05.494836

Decision Heuristics in Contexts Exploiting Intrinsic Skill

Neil M. Dundon, Jaron T. Colas, Neil Garrett, Viktoriya Babenko, Elizabeth Rizor, Dengxian Yang, Máirtín MacNamara, Linda Petzold, Scott T. Grafton
bioRxiv,
10.1101/2022.04.01.486746

Crystallinity characterization of white matter in the human brain

Erin G Teich1, Matthew Cieslak, Barry Giesbrecht, Jean M Vettel, Scott T Grafton, Theodore D Satterthwaite and Danielle S Bassett
New Journal of Physics,
10.1088/1367-2630/ac1286

QSIPrep: An integrative platform for preprocessing and reconstructing diffusion MRI

Matthew Cieslak, Philip A. Cook, Xiaosong He, Fang-Cheng Yeh, Thijs Dhollander, Azeez Adebimpe, Geoffrey K. Aguirre, Danielle S. Bassett, Richard F. Betzel, Josiane Bourque, Laura M. Cabral, Christos Davatzikos, John Detre, Eric Earl, Mark A. Elliott, Shreyas Fadnavis, Damien A. Fair, Will Foran, Panagiotis Fotiadis, Eleftherios Garyfallidis, Barry Giesbrecht, Ruben C. Gur, Raquel E. Gur, Max Kelz, Anisha Keshavan, Bart S. Larsen, Beatriz Luna, Allyson P. Mackey, Michael Milham, Desmond J. Oathes, Anders Perrone, Adam R. Pines, David R. Roalf, Adam Richie-Halford, Ariel Rokem, Valerie J. Sydnor, Tinashe M. Tapera, Ursula A. Tooley, Jean M. Vettel, Jason D. Yeatman, Scott T. Grafton, Theodore D. Satterthwaite
Nature Methods,
https://doi.org/10.1038/s41592-021-01185-5

Motor adaptation via distributional learning

Brian Mitchell, Michelle Marneweck, Scott Grafton and Linda Petzold
Journal of Neural Engineering,
10.1088/1741-2552/aba6d9

Ventromedial Prefrontal Cortex Activity and Sympathetic Allostasis During Value-Based Ambivalence

Dundon NM, Shapiro AD, Babenko V, Okafor GN and Grafton ST
Fronters in Behavioral Neuroscience,
10.3389/fnbeh.2021.615796

StressNet: Detecting Stress in Thermal Videos

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
IEEE/CVF Winter Conference on Applications of Computer Vision,

Progesterone shapes medial temporal lobe volume across the human menstrual cycle

Taylor, C. M., Pritschet, L., Olsen, R. K., Layher, E., Santander, T., Grafton, S. T., & Jacobs, E. G.
NeuroImage,
10.1016/j.neuroimage.2020.117125

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning

Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein and William Yang Wang
Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP), ACL. ,

Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling

Tsu-Jui Fu, Xin Eric Wang, Matthew Peterson, Scott Grafton, Miguel Eckstein and William Yang Wang
Proceedings of the 16th European Conference on Computer Vision (ECCV),

Sympathetic involvement in time-constrained sequential foraging

Neil M. Dundon, Neil Garrett, Viktoriya Babenko, Matt Cieslak, Nathaniel D. Daw and Scott T. Grafton
Cognitive, Affective, & Behavioral Neuroscience,
10.3758/s13415-020-00799-0

Subjective value then confidence in human ventromedial prefrontal cortex

Allison D. Shapiro, Scott T. Grafton
PLoS ONE,
10.1371/journal.pone.0225617

Estimating localized complexity of white-matter wiring with GANs

Haraldur T. Hallgrímsson, Richika Sharan, Scott T. Grafton, Ambuj K. Singh.
Medical Imaging Meets NeuroIPS,
arxiv.org/abs/1910.04868v2
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