Thomas V. Wiecki
Affiliations: | Brown University, Providence, RI |
Area:
Computational Cognitive Neuroscience, Response Inhibition, Hierarchical Bayesian ModelingGoogle:
"Thomas Wiecki"Mean distance: 15.91 (cluster 29) | S | N | B | C | P |
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentor| Matthias Bethge | research assistant | MPI for Biological Cybernetics | |
| Michael J. Frank | grad student | Brown |
BETA: Related publications
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Publications
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| Lawlor VM, Webb CA, Wiecki TV, et al. (2019) Dissecting the impact of depression on decision-making. Psychological Medicine. 1-10 |
| Lawlor V, Webb C, Wiecki T, et al. (2019) T139. Dissecting the Impact of Depression on Decision-Making During a Probabilistic Reward Task Biological Psychiatry. 85: S183 |
| Dutilh G, Annis J, Brown SD, et al. (2018) The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models. Psychonomic Bulletin & Review |
| Boehm U, Annis J, Frank MJ, et al. (2018) Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations Journal of Mathematical Psychology. 87: 46-75 |
| Wiecki TV, Antoniades CA, Stevenson A, et al. (2016) A Computational Cognitive Biomarker for Early-Stage Huntington's Disease. Plos One. 11: e0148409 |
| Dillon DG, Wiecki T, Pechtel P, et al. (2015) A computational analysis of flanker interference in depression. Psychological Medicine. 45: 2333-44 |
| Frank MJ, Gagne C, Nyhus E, et al. (2015) fMRI and EEG predictors of dynamic decision parameters during human reinforcement learning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 485-94 |
| Wiecki TV, Poland J, Frank MJ. (2015) Model-Based Cognitive Neuroscience Approaches to Computational Psychiatry: Clustering and Classification Clinical Psychological Science. 3: 378-399 |
| Cavanagh JF, Wiecki TV, Kochar A, et al. (2014) Eye tracking and pupillometry are indicators of dissociable latent decision processes. Journal of Experimental Psychology. General. 143: 1476-88 |
| Wiecki TV, Sofer I, Frank MJ. (2013) HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python. Frontiers in Neuroinformatics. 7: 14 |