Michael J Frank

Summary

Affiliation: University of Colorado
Country: USA

Publications

  1. pmc Understanding decision-making deficits in neurological conditions: insights from models of natural action selection
    Michael J Frank
    Departments of Psychology and Neurology, Program in Neuroscience, University of Arizona Tucson, AZ 85721, USA
    Philos Trans R Soc Lond B Biol Sci 362:1641-54. 2007
  2. ncbi request reprint By carrot or by stick: cognitive reinforcement learning in parkinsonism
    Michael J Frank
    Department of Psychology and Center for Neuroscience, University of Colorado Boulder, Boulder, CO 80309 0345, USA
    Science 306:1940-3. 2004
  3. ncbi request reprint Dynamic dopamine modulation in the basal ganglia: a neurocomputational account of cognitive deficits in medicated and nonmedicated Parkinsonism
    Michael J Frank
    Department of Psychology and Center for Neuroscience, University of Colorado at Boulder, CO 80309, USA
    J Cogn Neurosci 17:51-72. 2005
  4. ncbi request reprint Error-related negativity predicts reinforcement learning and conflict biases
    Michael J Frank
    Department of Pschology and Center for Neuroscience, University of Colorado at Boulder, Boulder, CO 80309, USA
    Neuron 47:495-501. 2005
  5. ncbi request reprint When logic fails: implicit transitive inference in humans
    Michael J Frank
    Department of Psychology, University of Colorado, Boulder, CO 80309, USA
    Mem Cognit 33:742-50. 2005
  6. pmc Single dose of a dopamine agonist impairs reinforcement learning in humans: evidence from event-related potentials and computational modeling of striatal-cortical function
    Diane L Santesso
    Department of Psychology, Harvard University, Cambridge, MA 02138, USA
    Hum Brain Mapp 30:1963-76. 2009
  7. ncbi request reprint Cross-task individual differences in error processing: neural, electrophysiological, and genetic components
    Michael J Frank
    Department of Psychology, University of Arizona, Tucson, Arizona 85721, USA
    Cogn Affect Behav Neurosci 7:297-308. 2007
  8. pmc Instructional control of reinforcement learning: a behavioral and neurocomputational investigation
    Bradley B Doll
    Department of Cognitive and Linguistic Sciences, Department of Psychology, Brown University, USA
    Brain Res 1299:74-94. 2009
  9. pmc Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system
    Thomas E Hazy
    Department of Psychology, University of Colorado Boulder, 345 UCB, Boulder, CO 80309, USA
    Philos Trans R Soc Lond B Biol Sci 362:1601-13. 2007
  10. pmc Social stress reactivity alters reward and punishment learning
    James F Cavanagh
    Department of Psychology, University of Arizona, Tucson, AZ, USA
    Soc Cogn Affect Neurosci 6:311-20. 2011

Detail Information

Publications30

  1. pmc Understanding decision-making deficits in neurological conditions: insights from models of natural action selection
    Michael J Frank
    Departments of Psychology and Neurology, Program in Neuroscience, University of Arizona Tucson, AZ 85721, USA
    Philos Trans R Soc Lond B Biol Sci 362:1641-54. 2007
    ..Incorporation of cortical noradrenaline function into the model improves action selection in noisy environments and accounts for response variability in ADHD. We close with more general clinical implications...
  2. ncbi request reprint By carrot or by stick: cognitive reinforcement learning in parkinsonism
    Michael J Frank
    Department of Psychology and Center for Neuroscience, University of Colorado Boulder, Boulder, CO 80309 0345, USA
    Science 306:1940-3. 2004
    ....
  3. ncbi request reprint Dynamic dopamine modulation in the basal ganglia: a neurocomputational account of cognitive deficits in medicated and nonmedicated Parkinsonism
    Michael J Frank
    Department of Psychology and Center for Neuroscience, University of Colorado at Boulder, CO 80309, USA
    J Cogn Neurosci 17:51-72. 2005
    ..The model also provides novel testable predictions for neuropsychological and pharmacological studies, and motivates further investigation of BG/DA interactions with the prefrontal cortex in working memory...
  4. ncbi request reprint Error-related negativity predicts reinforcement learning and conflict biases
    Michael J Frank
    Department of Pschology and Center for Neuroscience, University of Colorado at Boulder, Boulder, CO 80309, USA
    Neuron 47:495-501. 2005
    ..These results demonstrate that the ERN predicts the degree to which participants are biased to learn more from their mistakes than their correct choices and clarify the extent to which it indexes decision conflict...
  5. ncbi request reprint When logic fails: implicit transitive inference in humans
    Michael J Frank
    Department of Psychology, University of Colorado, Boulder, CO 80309, USA
    Mem Cognit 33:742-50. 2005
    ..In this account, choice performance is based on differential associative strengths across the stimulus items that develop over training, despite equal overt reinforcement...
  6. pmc Single dose of a dopamine agonist impairs reinforcement learning in humans: evidence from event-related potentials and computational modeling of striatal-cortical function
    Diane L Santesso
    Department of Psychology, Harvard University, Cambridge, MA 02138, USA
    Hum Brain Mapp 30:1963-76. 2009
    ..These preliminary findings offer important insights on the role of phasic DA signals on reinforcement learning in humans and provide initial evidence regarding the spatiotemporal dynamics of brain mechanisms underlying these processes...
  7. ncbi request reprint Cross-task individual differences in error processing: neural, electrophysiological, and genetic components
    Michael J Frank
    Department of Psychology, University of Arizona, Tucson, Arizona 85721, USA
    Cogn Affect Behav Neurosci 7:297-308. 2007
    ..These results are consistent with a role for the Pe and frontal monoamines in error awareness...
  8. pmc Instructional control of reinforcement learning: a behavioral and neurocomputational investigation
    Bradley B Doll
    Department of Cognitive and Linguistic Sciences, Department of Psychology, Brown University, USA
    Brain Res 1299:74-94. 2009
    ....
  9. pmc Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system
    Thomas E Hazy
    Department of Psychology, University of Colorado Boulder, 345 UCB, Boulder, CO 80309, USA
    Philos Trans R Soc Lond B Biol Sci 362:1601-13. 2007
    ..This learning is based on reinforcement learning mechanisms associated with the midbrain dopaminergic system and its activation via the BG and amygdala. Finally, we briefly describe various empirical tests of this framework...
  10. pmc Social stress reactivity alters reward and punishment learning
    James F Cavanagh
    Department of Psychology, University of Arizona, Tucson, AZ, USA
    Soc Cogn Affect Neurosci 6:311-20. 2011
    ....
  11. ncbi request reprint PVLV: the primary value and learned value Pavlovian learning algorithm
    Randall C O'Reilly
    Department of Psychology, University of Colorado, Boulder, CO 80309, USA
    Behav Neurosci 121:31-49. 2007
    ..Overall, the model provides a biologically plausible framework for understanding the neural basis of reward learning...
  12. doi request reprint Reinforcement-based decision making in corticostriatal circuits: mutual constraints by neurocomputational and diffusion models
    Roger Ratcliff
    Department of Psychology, The Ohio State University, Columbus, OH 43210, USA
    Neural Comput 24:1186-229. 2012
    ..The result is a better fit and understanding of reinforcement-based choice data than that which would have occurred with either model alone...
  13. ncbi request reprint Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making
    Michael J Frank
    Department of Psychology, Program in Neuroscience, University of Arizona, Tucson, AZ 85721, USA
    Neural Netw 19:1120-36. 2006
    ..Finally, the model accounts for the beneficial effects of STN lesions on these oscillations, but suggests that this benefit may come at the expense of impaired decision making...
  14. pmc Neural mechanisms of acquired phasic dopamine responses in learning
    Thomas E Hazy
    Department of Psychology and Neuroscience, University of Colorado Boulder, 345 UCB, Boulder, CO 80309, United States
    Neurosci Biobehav Rev 34:701-20. 2010
    ....
  15. ncbi request reprint Hippocampus, cortex, and basal ganglia: insights from computational models of complementary learning systems
    Hisham E Atallah
    Department of Psychology, Center for Neuroscience, University of Colorado at Boulder, 345 UCB, Boulder, CO 80309, USA
    Neurobiol Learn Mem 82:253-67. 2004
    ..Here, we summarize recent results in the domains of recognition memory, contextual fear conditioning, effects of basal ganglia lesions on stimulus-response and place learning, and flexible responding...
  16. doi request reprint Learning to avoid in older age
    Michael J Frank
    Department of Psychology, University of Arizona, Tucson, AZ 85721 0068, USA
    Psychol Aging 23:392-8. 2008
    ..These findings are consistent with models positing multiple neural mechanisms that support probabilistic integration and trial-to-trial behavior, which may be differentially impacted by older age...
  17. pmc Frontal theta links prediction errors to behavioral adaptation in reinforcement learning
    James F Cavanagh
    Department of Psychology, University of Arizona, Tucson, AZ, USA
    Neuroimage 49:3198-209. 2010
    ....
  18. ncbi request reprint Transitivity, flexibility, conjunctive representations, and the hippocampus. II. A computational analysis
    Michael J Frank
    Department of Psychology, University of Colorado, Boulder, Colorado 80309, USA
    Hippocampus 13:341-54. 2003
    ..We use this model to account for a range of existing data and to make a number of distinctive predictions that clearly contrast these two views...
  19. doi request reprint Sensitivity to reward and punishment in major depressive disorder: effects of rumination and of single versus multiple experiences
    Anson J Whitmer
    Department of Psychology, Stanford University, Stanford, CA 94305, USA
    Cogn Emot 26:1475-85. 2012
    ..The effects of rumination on sensitivity to punishment may be a mechanism by which rumination can lead to maladaptive consequences...
  20. pmc Single dose of a dopamine agonist impairs reinforcement learning in humans: behavioral evidence from a laboratory-based measure of reward responsiveness
    Diego A Pizzagalli
    Department of Psychology, Harvard University, 1220 William James Hall, 33 Kirkland Street, Cambridge, MA 02138, USA
    Psychopharmacology (Berl) 196:221-32. 2008
    ..Animal studies have emphasized the role of phasic dopamine (DA) signaling in reward-related learning, but these processes remain largely unexplored in humans...
  21. ncbi request reprint Triangulating a cognitive control network using diffusion-weighted magnetic resonance imaging (MRI) and functional MRI
    Adam R Aron
    Department of Psychology, University of California San Diego, La Jolla, California 92093, USA
    J Neurosci 27:3743-52. 2007
    ..The results also demonstrate a three-way functional-anatomical network in the right hemisphere that could either brake or completely stop responses...
  22. ncbi request reprint Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia
    Randall C O'Reilly
    Department of Psychology, University of Colorado Boulder, Boulder, CO 80309, USA
    Neural Comput 18:283-328. 2006
    ..The model's performance compares favorably with standard backpropagation-based temporal learning mechanisms on the challenging 1-2-AX working memory task and other benchmark working memory tasks...
  23. ncbi request reprint Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal
    Michael J Frank
    Department of Psychology, University of Colorado at Boulder, Boulder, CO, USA
    Psychol Rev 113:300-26. 2006
    ..The model successfully captures patterns of behavior resulting from OFC damage in decision making, reversal learning, and devaluation paradigms and makes additional predictions for the underlying source of these deficits...
  24. pmc Pupillometric and behavioral markers of a developmental shift in the temporal dynamics of cognitive control
    Christopher H Chatham
    Department of Psychology and Neuroscience, University of Colorado, Boulder, CO 80309, USA
    Proc Natl Acad Sci U S A 106:5529-33. 2009
    ..These results demonstrate the need to reconsider the origins of cognitive control and the basis for children's behaviors across domains...
  25. pmc Acute stress selectively reduces reward sensitivity
    Lisa H Berghorst
    Department of Psychology, Harvard University Cambridge, MA, USA Center for Depression, Anxiety and Stress Research, Harvard Medical School, McLean Hospital Belmont, MA, USA
    Front Hum Neurosci 7:133. 2013
    ..While such results highlight the possibility that stress-induced anhedonia might be an important mechanism linking stress to affective disorders, future studies are necessary to confirm this conjecture...
  26. ncbi request reprint Testing computational models of dopamine and noradrenaline dysfunction in attention deficit/hyperactivity disorder
    Michael J Frank
    Department of Psychology and Program in Neuroscience, University of Arizona, Tucson, AZ 85721, USA
    Neuropsychopharmacology 32:1583-99. 2007
    ..Taken together, our results demonstrate the usefulness of computational approaches for understanding cognitive deficits in ADHD...
  27. ncbi request reprint Hold your horses: impulsivity, deep brain stimulation, and medication in parkinsonism
    Michael J Frank
    Department of Psychology and Program in Neuroscience, University of Arizona, Tucson, AZ 85721, USA
    Science 318:1309-12. 2007
    ..These findings implicate independent mechanisms leading to impulsivity in treated Parkinson's patients and were predicted by a single neurocomputational model of the basal ganglia...
  28. pmc Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning
    Michael J Frank
    Department of Psychology and Program in Neuroscience, University of Arizona, Tucson, AZ 85721, USA
    Proc Natl Acad Sci U S A 104:16311-6. 2007
    ..Computational maximum likelihood analyses reveal independent gene effects on three reinforcement learning parameters that can explain the observed dissociations...
  29. pmc Selective reinforcement learning deficits in schizophrenia support predictions from computational models of striatal-cortical dysfunction
    James A Waltz
    Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland 21228, USA
    Biol Psychiatry 62:756-64. 2007
    ..We investigated whether fronto-striatal dysfunction in schizophrenia (SZ) is characterized by selective impairment in either reward- (Go) or punishment-driven (NoGo) learning...
  30. ncbi request reprint When memory fails, intuition reigns: midazolam enhances implicit inference in humans
    Michael J Frank
    Department of Psychology and Program in Neuroscience, University of Arizona, Tucson, AZ 85721, USA
    Psychol Sci 17:700-7. 2006
    ..We suggest that disengaging the hippocampal explicit memory system can be advantageous for this more implicit form of learning...