A. Dezfouli

发表

Models that learn how humans learn: The case of decision-making and its disorders

Peter Dayan, Amir Dezfouli, Bernard W Balleine, 2019, PLoS Comput. Biol..

Habits, action sequences and reinforcement learning

B. Balleine, A. Dezfouli, 2012, The European journal of neuroscience.

Adversarial manipulation of human decision-making

Richard Nock, Peter Dayan, Amir Dezfouli, 2020, bioRxiv.

Adversarial vulnerabilities of human decision-making

Peter Dayan, Amir Dezfouli, Richard Nock, 2020, Proceedings of the National Academy of Sciences.

Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models

Peter Dayan, Fabio Tozeto Ramos, Bernard W. Balleine, 2018, bioRxiv.

Scalable Inference for Gaussian Process Models with Black-Box Likelihoods

Edwin V. Bonilla, Amir Dezfouli, A. Dezfouli, 2015, NIPS.

Neural Network Poisson Models for Behavioural and Neural Spike Train Data

Richard Nock, Peter Dayan, Ehsan Arabzadeh, 2020, bioRxiv.

Action-value comparisons in the dorsolateral prefrontal cortex control choice between goal-directed actions

B. Balleine, A. Dezfouli, K. Griffiths, 2014, Nature Communications.

Medial Orbitofrontal Cortex Mediates Outcome Retrieval in Partially Observable Task Situations

Laura A. Bradfield, B. Balleine, A. Dezfouli, 2015, Neuron.

The Psychological and Physiological Mechanisms of Habit Formation

B. Balleine, A. Dezfouli, Nura W. Lingawi, 2016 .

Hierarchical Action Control: Adaptive Collaboration Between Actions and Habits

B. Balleine, A. Dezfouli, 2019, Front. Psychol..

The algorithmic neuroanatomy of action-outcome learning

B. Balleine, M. L. Le Pelley, A. Dezfouli, 2017, bioRxiv.

Understanding Addiction as a Pathological State of Multiple Decision Making Processes: A Neurocomputational Perspective

Mehdi Keramati, A. Dezfouli, Payam Piray, 2012 .

Optimal response vigor and choice under non-stationary outcome values

B. Balleine, R. Nock, A. Dezfouli, 2017, bioRxiv.

On the optimal response vigor and choice under variable motivational drives

A. Dezfouli, 2016, bioRxiv.

Optimizing Sequential Experimental Design with Deep Reinforcement Learning

Edwin V. Bonilla, I. Chades, A. Dezfouli, 2022, ICML.

The Neural Bases of Action-Outcome Learning in Humans

B. Balleine, M. L. Le Pelley, A. Dezfouli, 2022, The Journal of Neuroscience.

Variational Network Inference: Strong and Stable with Concrete Support

Richard Nock, Edwin V. Bonilla, Amir Dezfouli, 2018, ICML.

Semi-parametric Network Structure Discovery Models pdf

Richard Nock, Edwin V. Bonilla, Amir Dezfouli, 2017, ArXiv.

Actions, Action Sequences and Habits: Evidence That Goal-Directed and Habitual Action Control Are Hierarchically Organized

Bernard W. Balleine, Amir Dezfouli, B. Balleine, 2013, PLoS Comput. Biol..

Habits as action sequences: hierarchical action control and changes in outcome value

Amir Dezfouli, Nura W Lingawi, Bernard W Balleine, 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

A Neurocomputational Model for Cocaine Addiction

Caro Lucas, Amir Dezfouli, Payam Piray, 2009, Neural Computation.

Individuals with problem gambling and obsessive-compulsive disorder learn through distinct reinforcement mechanisms

Ben D. Fulcher, Leonardo Franklin Fontenelle, Shinsuke Suzuki, 2023, PLoS biology.

Hierarchical models of goal-directed and automatic actions

Amir Dezfouli, A. Dezfouli, 2015 .

Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies

Tom Heskes, Nathaniel D. Daw, Michael J. Frank, 2018, bioRxiv.

Speed/Accuracy Trade-Off between the Habitual and the Goal-Directed Processes

Amir Dezfouli, Payam Piray, Mohammad Mahdi Keramati, 2011, PLoS Comput. Biol..

Hierarchical control of goal-directed action in the cortical–basal ganglia network

Kenji Doya, Amir Dezfouli, Bernard W Balleine, 2015, Current Opinion in Behavioral Sciences.

Individual Differences in Nucleus Accumbens Dopamine Receptors Predict Development of Addiction-Like Behavior: A Computational Approach

Caro Lucas, Amir Dezfouli, Payam Piray, 2010, Neural Computation.

Learning the structure of the world: The adaptive nature of state-space and action representations in multi-stage decision-making

Amir Dezfouli, Bernard W. Balleine, B. Balleine, 2017, bioRxiv.

Optimizing the depth and the direction of prospective planning using information values

Mehdi Keramati, Amir Dezfouli, Can Eren Sezener, 2019, PLoS Comput. Biol..

Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals

I. Chades, A. Dezfouli, Yan Zuo, 2022, ArXiv.

Disentangled behavioural representations

Richard Nock, Cheng Soon Ong, Omar Ghattas, 2019, NeurIPS.

Transformed Distribution Matching for Missing Value Imputation

Edwin V. Bonilla, Ke Sun, A. Dezfouli, 2023, ICML.

Treatment outcome predictors in flexible dose-duration methadone detoxification program.

A. Dezfouli, H. Ekhtiari, Behnam Zamanian, 2013, Archives of Iranian medicine.

Disentangled behavioral representations

Richard Nock, Peter Dayan, Cheng Soon Ong, 2019, bioRxiv.

Models that learn how humans learn: the case of depression and bipolar disorders

Bernard W. Balleine, Fabio Ramos, Amir Dezfouli, 2018, bioRxiv.

Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning

Edwin V. Bonilla, I. Chades, A. Dezfouli, 2023, ArXiv.

Mixed-Variable Black-Box Optimisation Using Value Proposal Trees

I. Chades, A. Dezfouli, Vu Nguyen, 2023, AAAI.

Generic Inference in Latent Gaussian Process Models

Edwin V. Bonilla, Amir Dezfouli, Karl Krauth, 2016, J. Mach. Learn. Res..

The Contextual Lasso: Sparse Linear Models via Deep Neural Networks

R. Kohn, A. Dezfouli, Ryan Thompson, 2023, ArXiv.

CNS*2020 Online: Print Schedule

B. Harrison, A. Dezfouli, M. Yucel, 2020 .

Optimal response vigor and choice under non-stationary outcome values

B. Balleine, R. Nock, A. Dezfouli, 2017, Psychonomic Bulletin & Review.

Individual Differences in Nucleus Accumbens Dopamine Receptors Predict Development of Addiction-Like Behavior: A Computational Approach

C. Lucas, A. Dezfouli, Payam Piray, 2010, Neural Computation.

Effects of Methadone Maintenance Treatment on Decision-Making Processes in Heroin-Abusers: A Cognitive Modeling Analysis

A. Dezfouli, H. Ekhtiari, P. Fakhari, 2010 .

The Contextual Lasso: Sparse Linear Models via Deep Neural Networks

R. Kohn, A. Dezfouli, Ryan Thompson, 2023, ArXiv.

On the Measurement of Reinforcing Efficacy of Methamphetamine Using Self-Administration Procedures:A Review & Future Directions

A. Dezfouli, H. Ekhtiari, A. Mokri, 2010 .

On the Measurement of Reinforcing Efficacy of Methamphetamine Using Self-Administration Procedures : A Review and Plan for Future Directions

A. Dezfouli, H. Ekhtiari, A. Mokri, 2013 .