List of works - Michael J. Frank

A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning

scientific article published on 25 December 2015

A control theoretic model of adaptive behavior in dynamic environments

A dopaminergic basis for working memory, learning and attentional shifting in Parkinsonism

scientific article published on 19 July 2008

Advances in the computational understanding of mental illness

scientific article published on 03 July 2020

Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action

scientific article

Compositional clustering in task structure learning

article

Computational psychiatry as a bridge from neuroscience to clinical applications

scientific article

Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work

scientific article published on 01 March 2020

Faculty of 1000 evaluation for Neural constraints on learning

Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning

scientific article published on 13 April 2020

Interactions Among Working Memory, Reinforcement Learning, and Effort in Value-Based Choice: A New Paradigm and Selective Deficits in Schizophrenia

scientific article published on 31 May 2017

Intermittent subthalamic nucleus deep brain stimulation induces risk-aversive behavior in human subjects

scientific article published on 10 September 2018

Reward-predictive representations generalize across tasks in reinforcement learning

scientific article published on 15 October 2020

Role of Prefrontal Cortex in Learning and Generalizing Hierarchical Rules in 8-Month-Old Infants.

scientific article published on October 2016

Statistical context dictates the relationship between feedback-related EEG signals and learning

scientific article published on 21 August 2019

Surprise! Dopamine signals mix action, value and error

scientific article published in December 2015

Taming the beast: extracting generalizable knowledge from computational models of cognition.

scientific article

Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits

scientific article published on 02 February 2022

Variability in Dopamine Genes Dissociates Model-Based and Model-Free Reinforcement Learning

scientific article published on January 2016

Within and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory

article

Working Memory Load Strengthens Reward Prediction Errors

scientific article

Working memory contributions to reinforcement learning impairments in schizophrenia

scientific article

fMRI and EEG predictors of dynamic decision parameters during human reinforcement learning

scientific article

List of works by Michael J. Frank

A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning

A control theoretic model of adaptive behavior in dynamic environments

A dopaminergic basis for working memory, learning and attentional shifting in Parkinsonism

Advances in the computational understanding of mental illness

Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action

Compositional clustering in task structure learning

Computational psychiatry as a bridge from neuroscience to clinical applications

Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work

Faculty of 1000 evaluation for Neural constraints on learning

Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning

Interactions Among Working Memory, Reinforcement Learning, and Effort in Value-Based Choice: A New Paradigm and Selective Deficits in Schizophrenia

Intermittent subthalamic nucleus deep brain stimulation induces risk-aversive behavior in human subjects

Reward-predictive representations generalize across tasks in reinforcement learning

Role of Prefrontal Cortex in Learning and Generalizing Hierarchical Rules in 8-Month-Old Infants.

Statistical context dictates the relationship between feedback-related EEG signals and learning

Surprise! Dopamine signals mix action, value and error

Taming the beast: extracting generalizable knowledge from computational models of cognition.

Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits

Variability in Dopamine Genes Dissociates Model-Based and Model-Free Reinforcement Learning

Within and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory

Working Memory Load Strengthens Reward Prediction Errors

Working memory contributions to reinforcement learning impairments in schizophrenia

fMRI and EEG predictors of dynamic decision parameters during human reinforcement learning