Michael J Frank

Summary

Affiliation: University of Arizona
Country: USA

Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. pmc Midazolam, hippocampal function, and transitive inference: Reply to Greene
    Michael J Frank
    Dept of Psychology and Program in Neuroscience, University of Arizona, Tucson, USA
    Behav Brain Funct 4:5. 2008
  6. 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
  7. 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
  8. 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
  9. 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
  10. ncbi request reprint A mechanistic account of striatal dopamine function in human cognition: psychopharmacological studies with cabergoline and haloperidol
    Michael J Frank
    Department of Psychology and Program in NeuroscienceUniversity of Arizona, Tucson, AZ 85721, USA
    Behav Neurosci 120:497-517. 2006

Detail Information

Publications36

  1. 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...
  2. 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...
  3. 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...
  4. 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...
  5. pmc Midazolam, hippocampal function, and transitive inference: Reply to Greene
    Michael J Frank
    Dept of Psychology and Program in Neuroscience, University of Arizona, Tucson, USA
    Behav Brain Funct 4:5. 2008
    ..Here we stand by our original hypothesis, which remains the most parsimonious account of the data, and is grounded by multiple lines of evidence...
  6. 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...
  7. 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...
  8. 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...
  9. 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...
  10. ncbi request reprint A mechanistic account of striatal dopamine function in human cognition: psychopharmacological studies with cabergoline and haloperidol
    Michael J Frank
    Department of Psychology and Program in NeuroscienceUniversity of Arizona, Tucson, AZ 85721, USA
    Behav Neurosci 120:497-517. 2006
    ..Drug effects interacted with baseline working memory span in all tasks. Taken together, the results support a unified account of the role of dopamine in modulating cognitive processes that depend on the basal ganglia...
  11. 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...
  12. 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...
  13. 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...
  14. pmc A role for dopamine in temporal decision making and reward maximization in parkinsonism
    Ahmed A Moustafa
    Department of Psychology and Program in Neuroscience, University of Arizona, Tucson, Arizona 85721, USA
    J Neurosci 28:12294-304. 2008
    ..There were also robust trial-to-trial changes in response time, but these single trial adaptations were not affected by disease or medication and are posited to rely on extrastriatal, possibly prefrontal, structures...
  15. doi request reprint A dopaminergic basis for working memory, learning and attentional shifting in Parkinsonism
    Ahmed A Moustafa
    Department of Psychology and Program in Neuroscience, University of Arizona, Tucson, AZ 85721, United States
    Neuropsychologia 46:3144-56. 2008
    ..These results lend further insight into the role of basal ganglia dopamine in WM and broadly support predictions from neurocomputational models...
  16. 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
    ....
  17. 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
    ....
  18. 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
    ....
  19. pmc Altered cingulate sub-region activation accounts for task-related dissociation in ERN amplitude as a function of obsessive-compulsive symptoms
    James F Cavanagh
    University of Arizona, Tucson, AZ, USA
    Neuropsychologia 48:2098-109. 2010
    ..These novel findings link both tonic and phasic activities in the ACC to action monitoring alterations, including dissociation in performance deficits, in OC symptomatic participants...
  20. 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...
  21. 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...
  22. 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...
  23. 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...
  24. 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...
  25. 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...
  26. pmc Neurocomputational models of basal ganglia function in learning, memory and choice
    Michael X Cohen
    Department of Psychology, Program in Neuroscience, University of Arizona, 1503 E University Blvd, Tucson, AZ 85721, United States
    Behav Brain Res 199:141-56. 2009
    ..Finally, we discuss possible future directions and possible ways to integrate different types of models...
  27. 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...
  28. 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...
  29. 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
    ....
  30. 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...
  31. doi request reprint Seeing is believing: trustworthiness as a dynamic belief
    Luke J Chang
    Department of Psychology, University of Arizona, 1503 E University Blvd, Tucson, AZ 85721, United States
    Cogn Psychol 61:87-105. 2010
    ..This study provides a novel quantitative framework to conceptualize the notion of trustworthiness...
  32. 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...
  33. 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...
  34. 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...
  35. 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...
  36. 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...