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Journal of Cognitive Neuroscience|August 8, 2022
Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDMAlexander Fengler, Krishn Bera, Mads L Pedersen, et al.
Biorxiv : the Preprint Server for Biology|June 22, 2026
HSSM: A Widely Applicable Toolbox for Hierarchical Bayesian Neurocognitive ModelingAlexander Fengler, Yang Xu, Krishn Bera, et al.
Computational Brain & Behavior|February 7, 2022
Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural DataMads L Pedersen, Michael J Frank
Statistics and Computing|March 30, 2026
Efficient Inference in First Passage Time ModelsSicheng Liu, Alexander Fengler, Michael J Frank, et al.
Elife|April 6, 2021
Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscienceAlexander Fengler, Lakshmi N Govindarajan, Tony Chen, et al.
Frontiers in Psychology|April 26, 2021
Cognitive and Motor Learning in Internally-Guided Motor SkillsKrishn Bera, Anuj Shukla, Raju S Bapi
Brain Sciences|March 3, 2021
Motor Chunking in Internally Guided SequencingKrishn Bera, Anuj Shukla, Raju S Bapi
Plos Computational Biology|May 10, 2021
Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorderMads L Pedersen, Maria Ironside, Ken-Ichi Amemori, et al.
Cognition|December 25, 2025
The online processing of dynamicsAbdul-Rahim Deeb, Alexander Fengler, Fulvio Domini
Neuroscience and Biobehavioral Reviews|November 7, 2016
Modelling ADHD: A review of ADHD theories through their predictions for computational models of decision-making and reinforcement learningSigurd Ziegler, Mads L Pedersen, Athanasia M Mowinckel, et al.
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