Quentin J. M. Huys

Orcid: 0000-0002-8999-574X

According to our database1, Quentin J. M. Huys authored at least 23 papers between 2004 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2021
Explaining distortions in metacognition with an attractor network model of decision uncertainty.
PLoS Comput. Biol., 2021

2019
No substantial change in the balance between model-free and model-based control via training on the two-step task.
PLoS Comput. Biol., 2019

2018
Generalization and Search in Risky Environments.
Cogn. Sci., 2018

2017
Computational neuroimaging strategies for single patient predictions.
NeuroImage, 2017

2016
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., 2016

Better safe than sorry: Risky function exploitation through safe optimization.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2014
Reward-Based Learning, Model-Based and Model-Free.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Computational Psychiatry.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Optimism as a Prior Belief about the Probability of Future Reward.
PLoS Comput. Biol., 2014

Striatal dysfunction during reversal learning in unmedicated schizophrenia patients.
NeuroImage, 2014

2013
Aversive Pavlovian Control of Instrumental Behavior in Humans.
J. Cogn. Neurosci., 2013

Learned helplessness and generalization.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
Bonsai Trees in Your Head: How the Pavlovian System Sculpts Goal-Directed Choices by Pruning Decision Trees.
PLoS Comput. Biol., 2012

Go and no-go learning in reward and punishment: Interactions between affect and effect.
NeuroImage, 2012

2011
Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding.
PLoS Comput. Biol., 2011

Are computational models of any use to psychiatry?
Neural Networks, 2011

2009
Smoothing of, and Parameter Estimation from, Noisy Biophysical Recordings.
PLoS Comput. Biol., 2009

2008
Serotonin, Inhibition, and Negative Mood.
PLoS Comput. Biol., 2008

Encoding and Decoding Spikes for Dynamic Stimuli.
Neural Comput., 2008

Psychiatry: Insights into depression through normative decision-making models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Fast Population Coding.
Neural Comput., 2007

2005
Large-scale biophysical parameter estimation in single neurons via constrained linear regression.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Probabilistic Computation in Spiking Populations.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004


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