Quentin J. M. Huys

28 papers B 3Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Objective quantification of mood states using large language models. CoRR Jakub Onysk, Quentin J. M. Huys
2025	B	`conf`	Towards a computational account of egodystonia. CogSci Lucy Lai, Tobias Hauser, Quentin J. M. Huys
2025	J	`jnl`	Trials for computational psychiatry. Nat. Comput. Sci. Quentin J. M. Huys, Michael D. Browning
2024	J	`jnl`	Characterizing the dynamics, reactivity and controllability of moods in depression with a Kalman filter. PLoS Comput. Biol. Jolanda Malamud, Sinan Guloksuz, Ruud van Winkel, Philippe Delespaul, Marc A. F. De Hert, Catherine Derom, Evert Thiery, Nele Jacobs, Bart P. F. Rutten, Quentin J. M. Huys
2021	J	`jnl`	Explaining distortions in metacognition with an attractor network model of decision uncertainty. PLoS Comput. Biol. Nadim A. A. Atiya, Quentin J. M. Huys, Raymond J. Dolan, Stephen M. Fleming
2019	J	`jnl`	No substantial change in the balance between model-free and model-based control via training on the two-step task. PLoS Comput. Biol. Elmar D. Grosskurth, Dominik R. Bach, Marcos Economides, Quentin J. M. Huys, Lisa Holper
2018	J	`jnl`	Generalization and Search in Risky Environments. Cogn. Sci. Eric Schulz, Charley M. Wu, Quentin J. M. Huys, Andreas Krause, Maarten Speekenbrink
2017	J	`jnl`	Computational neuroimaging strategies for single patient predictions. NeuroImage Klaas E. Stephan, Florian Schlagenhauf, Quentin J. M. Huys, Sudhir Raman, Eduardo A. Aponte, Kay Henning Brodersen, Lionel Rigoux, Rosalyn J. Moran, Jean Daunizeau, Ray Dolan, Karl J. Friston, Andreas Heinz
2016	B	`conf`	Better safe than sorry: Risky function exploitation through safe optimization. CogSci Eric Schulz, Quentin J. M. Huys, Dominik R. Bach, Maarten Speekenbrink, Andreas Krause
2016	J	`jnl`	Better safe than sorry: Risky function exploitation through safe optimization. CoRR Eric Schulz, Quentin J. M. Huys, Dominik R. Bach, Maarten Speekenbrink, Andreas Krause
2016	J	`jnl`	Don't Think, Just Feel the Music: Individuals with Strong Pavlovian-to-Instrumental Transfer Effects Rely Less on Model-based Reinforcement Learning. J. Cogn. Neurosci. Miriam Sebold, Daniel J. Schad, Stephan Nebe, Maria Garbusow, Elisabeth Jünger, Nils B. Kroemer, Norbert Kathmann, Ulrich S. Zimmermann, Michael N. Smolka, Michael A. Rapp, Andreas Heinz, Quentin J. M. Huys
2014	—	`ch.`	Computational Psychiatry. Encyclopedia of Computational Neuroscience Quentin J. M. Huys
2014	J	`jnl`	Optimism as a Prior Belief about the Probability of Future Reward. PLoS Comput. Biol. Aistis Stankevicius, Quentin J. M. Huys, Aditi Kalra, Peggy Seriès
2014	—	`ch.`	Reward-Based Learning, Model-Based and Model-Free. Encyclopedia of Computational Neuroscience Quentin J. M. Huys, Anthony Cruickshank, Peggy Seriès
2014	J	`jnl`	Striatal dysfunction during reversal learning in unmedicated schizophrenia patients. NeuroImage Florian Schlagenhauf, Quentin J. M. Huys, Lorenz Deserno, Michael A. Rapp, Anne Beck, Hans-Joachim Heinze, Raymond J. Dolan, Andreas Heinz
2013	J	`jnl`	Aversive Pavlovian Control of Instrumental Behavior in Humans. J. Cogn. Neurosci. Dirk E. M. Geurts, Quentin J. M. Huys, Hanneke E. M. den Ouden, Roshan Cools
2013	B	`conf`	Learned helplessness and generalization. CogSci Falk Lieder, Noah D. Goodman, Quentin J. M. Huys
2012	J	`jnl`	Bonsai Trees in Your Head: How the Pavlovian System Sculpts Goal-Directed Choices by Pruning Decision Trees. PLoS Comput. Biol. Quentin J. M. Huys, Neir Eshel, Elizabeth J. P. O'Nions, Luke Sheridan, Peter Dayan, Jonathan P. Roiser
2012	J	`jnl`	Go and no-go learning in reward and punishment: Interactions between affect and effect. NeuroImage Marc Guitart-Masip, Quentin J. M. Huys, Lluís Fuentemilla, Peter Dayan, Emrah Düzel, Raymond J. Dolan
2011	J	`jnl`	Are computational models of any use to psychiatry? Neural Networks Quentin J. M. Huys, Michael Moutoussis, Jonathan Williams
2011	J	`jnl`	Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding. PLoS Comput. Biol. Quentin J. M. Huys, Roshan Cools, Martin Gölzer, Eva Friedel, Andreas Heinz, Raymond J. Dolan, Peter Dayan
2009	J	`jnl`	Smoothing of, and Parameter Estimation from, Noisy Biophysical Recordings. PLoS Comput. Biol. Quentin J. M. Huys, Liam Paninski
2008	J	`jnl`	Encoding and Decoding Spikes for Dynamic Stimuli. Neural Comput. Rama Natarajan, Quentin J. M. Huys, Peter Dayan, Richard S. Zemel
2008	—	`conf`	Psychiatry: Insights into depression through normative decision-making models. NIPS Quentin J. M. Huys, Joshua T. Vogelstein, Peter Dayan
2008	J	`jnl`	Serotonin, Inhibition, and Negative Mood. PLoS Comput. Biol. Peter Dayan, Quentin J. M. Huys
2007	J	`jnl`	Fast Population Coding. Neural Comput. Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan
2005	—	`conf`	Large-scale biophysical parameter estimation in single neurons via constrained linear regression. NIPS Misha B. Ahrens, Quentin J. M. Huys, Liam Paninski
2004	—	`conf`	Probabilistic Computation in Spiking Populations. NIPS Richard S. Zemel, Quentin J. M. Huys, Rama Natarajan, Peter Dayan