Michael J. Frank

Q: What Schools Are Affiliated With Michael J. Frank

Michael J. Frank is affiliated with the following schools: University of Colorado Boulder, Brown University, University of Arizona, Queen's University at Kingston, University of Colorado

Michael J. Frank's AcademicInfluence.com Rankings

Michael J. Frank

Biology

#14361

World Rank

#18090

Historical Rank

Neuroscience

#2552

World Rank

#2621

Historical Rank

biology Degrees

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Biology

Why Is Michael J. Frank Influential?

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According to Wikipedia, Michael Joshua Frank is a neuroscientist who has played a leading role in emerging field of computational psychiatry. He is currently the Edgar L. Marston Professor of Cognitive, Linguistic and Psychological Sciences at Brown University and Director of the Center for Computational Brain Science at Brown's Carney Institute for Brain Science. Other honors include: Kavli Fellow , the Cognitive Neuroscience Society Young Investigator Award , and the Janet T Spence Award for early career transformative contributions .

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Michael J. Frank's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism (2004) (1851)
Hold Your Horses: Impulsivity, Deep Brain Stimulation, and Medication in Parkinsonism (2007) (992)
Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia (2006) (962)
Dynamic Dopamine Modulation in the Basal Ganglia: A Neurocomputational Account of Cognitive Deficits in Medicated and Nonmedicated Parkinsonism (2005) (918)
Triangulating a Cognitive Control Network Using Diffusion-Weighted Magnetic Resonance Imaging (MRI) and Functional MRI (2007) (915)
Interactions between frontal cortex and basal ganglia in working memory: A computational model (2001) (822)
Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making (2006) (666)
Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning (2007) (640)
Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold (2011) (525)
A mechanistic account of striatal dopamine function in human cognition: psychopharmacological studies with cabergoline and haloperidol. (2006) (450)
Error-Related Negativity Predicts Reinforcement Learning and Conflict Biases (2005) (421)
Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system (2007) (404)
Pupillometric and behavioral markers of a developmental shift in the temporal dynamics of cognitive control (2009) (268)
Neurocomputational models of basal ganglia function in learning, memory and choice (2009) (251)
Single dose of a dopamine agonist impairs reinforcement learning in humans: Behavioral evidence from a laboratory-based measure of reward responsiveness (2008) (211)
Testing Computational Models of Dopamine and Noradrenaline Dysfunction in Attention Deficit/Hyperactivity Disorder (2007) (209)
Understanding decision-making deficits in neurological conditions: insights from models of natural action selection (2007) (181)
Hippocampus, cortex, and basal ganglia: Insights from computational models of complementary learning systems (2004) (175)
A dopaminergic basis for working memory, learning and attentional shifting in Parkinsonism (2008) (170)
Single dose of a dopamine agonist impairs reinforcement learning in humans: Evidence from event‐related potentials and computational modeling of striatal‐cortical function (2009) (149)
PVLV: the primary value and learned value Pavlovian learning algorithm. (2007) (137)
A Role for Dopamine in Temporal Decision Making and Reward Maximization in Parkinsonism (2008) (129)
Learning to avoid in older age. (2008) (127)
Transitivity, flexibility, conjunctive representations, and the hippocampus. II. A computational analysis (2003) (116)
When logic fails: Implicit transitive inference in humans (2005) (93)
Social stress reactivity alters reward and punishment learning. (2011) (89)
Cross-task individual differences in error processing: Neural, electrophysiological, and genetic components (2007) (89)
When Memory Fails, Intuition Reigns (2006) (68)
Schizophrenia: a computational reinforcement learning perspective. (2008) (33)
Dopamine and proximity in motivation and cognitive control (2018) (30)
Approach-Avoidance Conflict in Major Depressive Disorder: Congruent Neural Findings in Humans and Nonhuman Primates (2020) (27)
A mosaic of cost–benefit control over cortico-striatal circuitry (2021) (21)
A Mechanistic Account of Striatal Dopamine Function in Cognition : Psychopharmacological Studies with Cabergoline and Haloperidol Supplemental Material (11)
Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder (2021) (10)
A comparison between an individual and group goal structure contingency that differed in the behavioral contingency and performance-outcome components (1984) (10)
Modelling Natural Action Selection: Toward an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system (2011) (9)
Midazolam, hippocampal function, and transitive inference: Reply to Greene (2008) (7)
Dynamic Dopamine Modulation of Striato-Cortical Circuits in Cognition: Converging Neuropsychological, Psychopharmacological and Computational Studies (2004) (5)
A computational model of executive control in frontal cortex and basal ganglia: multiple levels of analysis (2011) (5)
Slave to the striatal habit (Commentary on Tricomi et al.) (2009) (3)
When Memory Fails, Intuition Reigns Enhances Implicit Inference in Humans (2006) (3)
Modelling Natural Action Selection: Understanding decision-making deficits in neurological conditions: insights from models of natural action selection (2011) (2)
Differential, but not opponent, effects of l-DOPA and citalopram on action learning with reward and punishment (2013) (2)
Humans adaptively resolve the explore-exploit dilemma under cognitive constraints: Evidence from a multi-armed bandit task (2022) (2)
The Straw That Broke the Camel’s Back: Natural Variations in 17β-Estradiol and COMT-Val158Met Genotype Interact in the Modulation of Model-Free and Model-Based Control (2021) (1)
Learning in Parkinsonism By Carrot or by Stick : Cognitive Reinforcement (2009) (1)
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning (2021) (1)
Computational Neuroscientific Models of Working Memory (2021) (1)
Supplementary materials for : Losses loom larger than gains in the brain : Neural loss aversion predicts behavioral loss aversion (2006) (1)
P528. Computational Modeling of Reward Learning in Schizophrenia Using the Reinforcement Learning Drift Diffusion Model (RLDDM) (2022) (1)
On the normative advantages of 1 dopamine and striatal opponency for 2 learning and choice 3 (2023) (0)
Reward-Predictive Clustering (2022) (0)
Faculty of 1000 evaluation for Dopamine in motivational control: rewarding, aversive, and alerting. (2011) (0)
Positive reward prediction errors during decision-making strengthen memory encoding (2019) (0)
Faculty Opinions recommendation of Diametric neural ensemble dynamics in parkinsonian and dyskinetic states. (2018) (0)
Dopamine D2 agonist affects visuospatial working memory distractor interference depending on individual differences in baseline working memory span (2018) (0)
Neural Index of Reinforcement Learning Predicts Improved Stimulus–Response Retention under High Working Memory Load (2023) (0)
Faculty Opinions recommendation of Endogenous fluctuations in the dopaminergic midbrain drive behavioral choice variability. (2019) (0)
Faculty of 1000 evaluation for The promises and pitfalls of applying computational models to neurological and psychiatric disorders. (2016) (0)
P1-147 Effects of aging on computerized tests of procedural memory that utilize trial-and-error learning (2006) (0)
Retention of Value Representations Across Time in People with Schizophrenia and Healthy Controls (2021) (0)

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What Schools Are Affiliated With Michael J. Frank?

Michael J. Frank is affiliated with the following schools: