Thomas Wiecki
Thomas Wiecki
Verified email at - Homepage
Cited by
Cited by
Probabilistic programming in Python using PyMC3
J Salvatier, TV Wiecki, C Fonnesbeck
PeerJ Computer Science 2, e55, 2016
HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python
TV Wiecki, I Sofer, MJ Frank
Frontiers in Neuroinformatics 7, 14, 2013
Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold
JF Cavanagh, TV Wiecki, MX Cohen, CM Figueroa, J Samanta, ...
Nature neuroscience 14 (11), 1462-1467, 2012
A computational model of inhibitory control in frontal cortex and basal ganglia.
TV Wiecki, MJ Frank
Psychological Review 120, 329-355, 2013
Eye tracking and pupillometry are indicators of dissociable latent decision processes.
JF Cavanagh, TV Wiecki, A Kochar, MJ Frank
Journal of Experimental Psychology: General 143 (4), 1476, 2014
fMRI and EEG predictors of dynamic decision parameters during human reinforcement learning
MJ Frank, C Gagne, E Nyhus, S Masters, TV Wiecki, JF Cavanagh, ...
Journal of Neuroscience 35 (2), 485-494, 2015
Model-based cognitive neuroscience approaches to computational psychiatry: clustering and classification
TV Wiecki, J Poland, MJ Frank
Clinical Psychological Science, 2015
Altered probabilistic learning and response biases in schizophrenia: Behavioral evidence and neurocomputational modeling.
JA Waltz, MJ Frank, TV Wiecki, JM Gold
Neuropsychology 25 (1), 86, 2011
Neurocomputational models of motor and cognitive deficits in Parkinson’s disease
TV Wiecki, MJ Frank
Progress in brain research 183, 275-297, 2010
The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models
G Dutilh, J Annis, SD Brown, P Cassey, NJ Evans, RPPP Grasman, ...
Psychonomic Bulletin & Review 26 (4), 1051-1069, 2019
A neurocomputational account of catalepsy sensitization induced by D2 receptor blockade in rats: context dependency, extinction, and renewal
TV Wiecki, K Riedinger, A von Ameln-Mayerhofer, WJ Schmidt, MJ Frank
Psychopharmacology 204 (2), 265-277, 2009
Release the BEESTS: Bayesian estimation of ex-Gaussian stop-signal reaction time distributions
D Matzke, J Love, TV Wiecki, SD Brown, GD Logan, EJ Wagenmakers
Frontiers in Psychology 4, 918, 2013
A computational analysis of flanker interference in depression
DG Dillon, T Wiecki, P Pechtel, C Webb, F Goer, L Murray, M Trivedi, ...
Psychological medicine 45 (11), 2333-2344, 2015
Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations
U Boehm, J Annis, MJ Frank, GE Hawkins, A Heathcote, D Kellen, ...
Journal of Mathematical Psychology 87, 46-75, 2018
A computational cognitive biomarker for early-stage Huntington’s disease
TV Wiecki, CA Antoniades, A Stevenson, C Kennard, B Borowsky, ...
PLoS One 11 (2), e0148409, 2016
Material properties determine how force and position signals combine in haptic shape perception
K Drewing, TV Wiecki, MO Ernst
Acta Psychologica 128 (2), 264-273, 2008
The independent components of natural images are perceptually dependent
M Bethge, TV Wiecki, FA Wichmann
Human Vision and Electronic Imaging XII 6492, 64920A, 2007
All That Glitters Is Not Gold: Comparing Backtest and Out-of-Sample Performance on a Large Cohort of Trading Algorithms
T Wiecki, A Campbell, J Lent, J Stauth
The Journal of Investing 25 (3), 69-80, 2016
Hierarchical Bayesian estimation of the drift diffusion model: Quantitative comparison with maximum likelihood
T Wiecki, I Sofer, MJ Frank
Program no. 494.13/ccc30. 2012 Neuroscience Meeting Planner. New Orleans, LA …, 2012
Dissecting the impact of depression on decision-making
VM Lawlor, CA Webb, TV Wiecki, MJ Frank, M Trivedi, DA Pizzagalli, ...
Psychological medicine 50 (10), 1613-1622, 2020
The system can't perform the operation now. Try again later.
Articles 1–20