Michael Joshua Frank
#142,592
Most Influential Person Now
Michael Joshua Frank's AcademicInfluence.com Rankings
Michael Joshua Frankbiology Degrees
Biology
#10171
World Rank
#13475
Historical Rank
Neuroscience
#1550
World Rank
#1601
Historical Rank
Download Badge
Psychology Biology
Michael Joshua Frank's Degrees
- PhD Cognitive Neuroscience University of California, Berkeley
- Masters Psychology Stanford University
Why Is Michael Joshua Frank Influential?
(Suggest an Edit or Addition)Michael Joshua 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
- Frontal theta as a mechanism for cognitive control (2014) (1442)
- From reinforcement learning models to psychiatric and neurological disorders (2011) (635)
- HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python (2013) (634)
- Computational psychiatry as a bridge from neuroscience to clinical applications (2016) (606)
- Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal. (2006) (591)
- Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation. (2009) (385)
- Frontal theta links prediction errors to behavioral adaptation in reinforcement learning (2010) (375)
- Negative Symptoms of Schizophrenia Are Associated with Abnormal Effort-Cost Computations (2013) (362)
- Striatal Dopamine Predicts Outcome-Specific Reversal Learning and Its Sensitivity to Dopaminergic Drug Administration (2009) (350)
- A computational model of inhibitory control in frontal cortex and basal ganglia. (2011) (330)
- Banishing the homunculus: Making working memory work (2006) (317)
- Opponent actor learning (OpAL): modeling interactive effects of striatal dopamine on reinforcement learning and choice incentive. (2014) (314)
- Selective Reinforcement Learning Deficits in Schizophrenia Support Predictions from Computational Models of Striatal-Cortical Dysfunction (2007) (307)
- Cognitive control over learning: creating, clustering, and generalizing task-set structure. (2013) (294)
- How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis (2012) (284)
- Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: computational analysis. (2012) (276)
- Negative symptoms and the failure to represent the expected reward value of actions: behavioral and computational modeling evidence. (2012) (268)
- Seeing is believing: Trustworthiness as a dynamic belief (2010) (234)
- Common medial frontal mechanisms of adaptive control in humans and rodents (2013) (233)
- Impulse control disorders and levodopa-induced dyskinesias in Parkinson's disease: an update (2017) (227)
- Rostrolateral Prefrontal Cortex and Individual Differences in Uncertainty-Driven Exploration (2012) (220)
- Freezing of gait in Parkinson's disease is associated with functional decoupling between the cognitive control network and the basal ganglia. (2013) (211)
- Eye tracking and pupillometry are indicators of dissociable latent decision processes. (2014) (209)
- Instructional control of reinforcement learning: A behavioral and neurocomputational investigation (2009) (205)
- Motor symptoms in Parkinson’s disease: A unified framework (2016) (204)
- Deficits in Positive Reinforcement Learning and Uncertainty-Driven Exploration Are Associated with Distinct Aspects of Negative Symptoms in Schizophrenia (2011) (202)
- An Integrative Perspective on the Role of Dopamine in Schizophrenia (2017) (200)
- Frontal theta reflects uncertainty and unexpectedness during exploration and exploitation. (2012) (197)
- fMRI and EEG Predictors of Dynamic Decision Parameters during Human Reinforcement Learning (2015) (190)
- Neurogenetics and Pharmacology of Learning, Motivation, and Cognition (2011) (187)
- Dopaminergic Genes Predict Individual Differences in Susceptibility to Confirmation Bias (2011) (187)
- Reinforcement-Based Decision Making in Corticostriatal Circuits: Mutual Constraints by Neurocomputational and Diffusion Models (2012) (181)
- Mechanisms of hierarchical reinforcement learning in cortico-striatal circuits 2: evidence from fMRI. (2012) (177)
- Computational models of motivated action selection in corticostriatal circuits (2011) (173)
- Working Memory Contributions to Reinforcement Learning Impairments in Schizophrenia (2014) (155)
- Corticostriatal Output Gating during Selection from Working Memory (2014) (151)
- Approach and avoidance learning in patients with major depression and healthy controls: relation to anhedonia (2009) (148)
- The drift diffusion model as the choice rule in reinforcement learning (2017) (148)
- Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work (2019) (143)
- Striatal D1 and D2 signaling differentially predict learning from positive and negative outcomes (2015) (140)
- Genetic contributions to avoidance-based decisions: striatal D2 receptor polymorphisms (2009) (139)
- Model-Based Cognitive Neuroscience Approaches to Computational Psychiatry (2015) (139)
- Frontal Theta Overrides Pavlovian Learning Biases (2013) (137)
- Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis. (2016) (127)
- Altered probabilistic learning and response biases in schizophrenia: behavioral evidence and neurocomputational modeling. (2011) (125)
- How Preparation Changes the Need for Top–Down Control of the Basal Ganglia When Inhibiting Premature Actions (2012) (123)
- Acute stress selectively reduces reward sensitivity (2013) (108)
- Stress modulates reinforcement learning in younger and older adults. (2013) (108)
- Task-related dissociation in ERN amplitude as a function of obsessive–compulsive symptoms (2009) (107)
- Neural mechanisms of acquired phasic dopamine responses in learning (2010) (105)
- Neurocomputational models of motor and cognitive deficits in Parkinson's disease. (2010) (103)
- Variability in Dopamine Genes Dissociates Model-Based and Model-Free Reinforcement Learning (2016) (103)
- Effort Cost Computation in Schizophrenia: A Commentary on the Recent Literature (2015) (93)
- Differential, but not opponent, effects of l-DOPA and citalopram on action learning with reward and punishment (2013) (91)
- Probabilistic Reinforcement Learning in Patients With Schizophrenia: Relationships to Anhedonia and Avolition. (2016) (89)
- Within- and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory (2017) (83)
- A Reinforcement Learning Mechanism Responsible for the Valuation of Free Choice (2014) (83)
- The role of frontostriatal impairment in freezing of gait in Parkinson's disease (2013) (83)
- The neurogenetics of exploration and exploitation: Prefrontal and striatal dopaminergic components (2009) (80)
- Interactions Among Working Memory, Reinforcement Learning, and Effort in Value-Based Choice: A New Paradigm and Selective Deficits in Schizophrenia (2017) (77)
- Conflict acts as an implicit cost in reinforcement learning (2014) (77)
- Dopamine, Locus of Control, and the Exploration-Exploitation Tradeoff (2015) (76)
- Probabilistic reinforcement learning in adults with autism spectrum disorders (2011) (75)
- Dissociable responses to punishment in distinct striatal regions during reversal learning (2010) (75)
- A role for dopamine-mediated learning in the pathophysiology and treatment of Parkinson's disease. (2012) (73)
- Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action (2017) (70)
- Larger Error Signals in Major Depression are Associated with Better Avoidance Learning (2011) (69)
- Working Memory Load Strengthens Reward Prediction Errors (2017) (69)
- Dopaminergic basis for impairments in functional connectivity across subdivisions of the striatum in Parkinson's disease (2015) (69)
- Chunking as a rational strategy for lossy data compression in visual working memory (2017) (68)
- Spontaneous eye blink rate predicts learning from negative, but not positive, outcomes (2015) (65)
- Human EEG Uncovers Latent Generalizable Rule Structure during Learning (2014) (63)
- Neural signature of hierarchically structured expectations predicts clustering and transfer of rule sets in reinforcement learning (2016) (62)
- A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning (2015) (61)
- Positive reward prediction errors during decision making strengthen memory encoding (2019) (60)
- Computational models of reinforcement learning: the role of dopamine as a reward signal (2010) (58)
- Striatal dopaminergic modulation of reinforcement learning predicts reward—oriented behavior in daily life (2017) (58)
- Pleasurable music affects reinforcement learning according to the listener (2013) (57)
- Taming the beast: extracting generalizable knowledge from computational models of cognition (2016) (57)
- CNTRICS final task selection: long-term memory. (2009) (56)
- Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations (2018) (56)
- Charting the landscape of priority problems in psychiatry, part 2: pathogenesis and aetiology. (2016) (55)
- Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment (2021) (51)
- Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies (2018) (50)
- Advances in the computational understanding of mental illness (2020) (49)
- Patients with schizophrenia demonstrate inconsistent preference judgments for affective and nonaffective stimuli. (2011) (48)
- Altered cingulate sub-region activation accounts for task-related dissociation in ERN amplitude as a function of obsessive-compulsive symptoms (2010) (48)
- Role of Prefrontal Cortex in Learning and Generalizing Hierarchical Rules in 8-Month-Old Infants (2016) (45)
- A neurocomputational account of catalepsy sensitization induced by D2 receptor blockade in rats: context dependency, extinction, and renewal (2009) (45)
- Sensitivity to reward and punishment in major depressive disorder: Effects of rumination and of single versus multiple experiences (2012) (44)
- Hypothetical decision making in schizophrenia: The role of expected value computation and “irrational” biases (2013) (43)
- Multiple Dissociations Between Comorbid Depression and Anxiety on Reward and Punishment Processing: Evidence From Computationally Informed EEG (2019) (43)
- Roles of D1-like dopamine receptors in the nucleus accumbens and dorsolateral striatum in conditioned avoidance responses (2011) (42)
- The Subthalamic Nucleus Contributes to Post-error Slowing (2014) (42)
- 8-Month-Old Infants Spontaneously Learn and Generalize Hierarchical Rules (2015) (39)
- The Case for Adaptive Neuromodulation to Treat Severe Intractable Mental Disorders (2019) (38)
- Feedback-driven trial-by-trial learning in autism spectrum disorders. (2015) (38)
- Surprise! Dopamine signals mix action, value and error (2015) (37)
- Biases in the Explore–Exploit Tradeoff in Addictions: The Role of Avoidance of Uncertainty (2015) (36)
- Identifying the neural correlates of doorway freezing in Parkinson's disease (2019) (36)
- A Computational Cognitive Biomarker for Early-Stage Huntington’s Disease (2016) (36)
- Statistical context dictates the relationship between feedback-related EEG signals and learning (2019) (33)
- Motivational Deficits in Schizophrenia Are Associated With Reduced Differentiation Between Gain and Loss-Avoidance Feedback in the Striatum. (2017) (33)
- Compositional clustering in task structure learning (2017) (33)
- How cognitive theory guides neuroscience (2015) (32)
- Reinforcement Learning, Conflict Monitoring, and Cognitive Control: An Integrative Model of Cingulate-Striatal Interactions and the ERN (2011) (32)
- Dissecting the impact of depression on decision-making (2019) (31)
- Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action (2018) (29)
- Anxiety Impedes Adaptive Social Learning Under Uncertainty (2020) (29)
- Computational Psychiatry Needs Time and Context. (2021) (28)
- The basal ganglia in reward and decision making: computational models and empirical studies (2009) (28)
- Reinforcement learning and higher level cognition: Introduction to special issue (2009) (26)
- Reduced susceptibility to confirmation bias in schizophrenia (2014) (26)
- Interactionist Neuroscience (2015) (25)
- Theory-Based Computational Psychiatry (2017) (25)
- CNTRICS imaging biomarkers final task selection: Long-term memory and reinforcement learning. (2012) (24)
- Atypical Learning in Autism Spectrum Disorders: A Functional Magnetic Resonance Imaging Study of Transitive Inference. (2015) (24)
- Linking Across Levels of Computation in Model-Based Cognitive Neuroscience (2015) (23)
- Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience (2020) (23)
- Dopamine waves as a mechanism for spatiotemporal credit assignment (2019) (22)
- Interrelations between cognitive dysfunction and motor symptoms of Parkinson’s disease: behavioral and neural studies (2016) (22)
- Dopamine D2 agonist affects visuospatial working memory distractor interference depending on individual differences in baseline working memory span (2018) (21)
- Reward-predictive representations generalize across tasks in reinforcement learning (2019) (21)
- Impaired Expected Value Computations Coupled With Overreliance on Stimulus-Response Learning in Schizophrenia. (2018) (20)
- Faculty Opinions recommendation of States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning. (2010) (20)
- Cross-Task Contributions of Frontobasal Ganglia Circuitry in Response Inhibition and Conflict-Induced Slowing. (2019) (20)
- Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data (2020) (20)
- Motivational deficits in schizophrenia relate to abnormalities in cortical learning rate signals (2018) (18)
- Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning (2019) (18)
- Transitive inference in adults with autism spectrum disorders (2011) (18)
- Social reinforcement learning as a predictor of real-life experiences in individuals with high and low depressive symptomatology (2019) (17)
- Impaired expected value computations in schizophrenia are associated with a reduced ability to integrate reward probability and magnitude of recent outcomes (2018) (15)
- Stop! Stay tuned for more information (2013) (14)
- Reduction of Pavlovian Bias in Schizophrenia: Enhanced Effects in Clozapine-Administered Patients (2016) (14)
- A Control Theoretic Model of Adaptive Learning in Dynamic Environments (2018) (14)
- All or nothing belief updating in patients with schizophrenia reduces precision and flexibility of beliefs. (2021) (14)
- Do substantia nigra dopaminergic neurons differentiate between reward and punishment? (2009) (14)
- Optimizing vs. Matching: Response Strategy in a Probabilistic Learning Task is associated with Negative Symptoms of Schizophrenia (2011) (14)
- Intact striatal dopaminergic modulation of reward learning and daily-life reward-oriented behavior in first-degree relatives of individuals with psychotic disorder (2017) (14)
- Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence (2020) (13)
- Cognitive correlates of psychosis in patients with Parkinson's disease (2014) (13)
- Motor Demands Constrain Cognitive Rule Structures (2016) (13)
- A Neural Correlate of Strategic Exploration at the Onset of Adolescence (2016) (11)
- Positive reward prediction errors strengthen incidental memory encoding (2018) (9)
- The Importance of Standards for Sharing of Computational Models and Data (2019) (9)
- Probability and magnitude evaluation in schizophrenia (2016) (9)
- Stimulus discriminability may bias value-based probabilistic learning (2017) (9)
- Computational Approaches for Studying Mechanisms of Psychiatric Disorders (2016) (8)
- Differential Effects of Psychotic Illness on Directed and Random Exploration (2020) (8)
- Learning Cognitive Control (2017) (7)
- Intermittent subthalamic nucleus deep brain stimulation induces risk-aversive behavior in human subjects (2018) (7)
- Daily-life stress differentially impacts ventral striatal dopaminergic modulation of reward processing in first-degree relatives of individuals with psychosis (2018) (7)
- A control theoretic model of adaptive behavior in dynamic environments (2017) (5)
- Increased conflict-induced slowing, but no differences in conflict-induced positive or negative prediction error learning in patients with schizophrenia (2019) (5)
- Cross-task contributions of fronto-basal ganglia circuitry in response inhibition and conflict-induced slowing (2017) (5)
- Retention of Value Representations Across Time in People With Schizophrenia and Healthy Control Subjects. (2020) (4)
- Computational Cognitive Neuroscience Approaches to Deconstructing Mental Function and Dysfunction (2016) (4)
- Beyond Gradients: Noise Correlations Control Hebbian Plasticity to Shape Credit Assignment (2021) (3)
- Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits (2022) (3)
- Proof-of-Mechanism Study of the Phosphodiesterase 10 Inhibitor RG7203 in Patients With Schizophrenia and Negative Symptoms (2021) (3)
- Generalizing to generalize: when (and when not) to be compositional in task structure learning (2019) (3)
- An evidence accumulation model of motivational and developmental influences over sustained attention (2020) (3)
- 025 The neural correlates of doorway freezing in parkinson’s disease (2018) (2)
- Self-judgment dissected: A computational modeling analysis of self-referential processing and its relationship to trait mindfulness facets and depression symptoms (2022) (2)
- Honeycomb: a template for reproducible psychophysiological tasks for clinic, laboratory, and home use (2021) (2)
- Running Head: Computational Psychiatry Needs Time and Context Computational Psychiatry Needs Time and Context (2021) (2)
- Faculty Opinions recommendation of Noninvasive deep brain stimulation via temporally interfering electric fields. (2017) (2)
- Estimating Between-Trial Variability Parameters of the Diffusion Decision Model (2018) (2)
- On the normative advantages of dopamine and striatal opponency for learning and choice (2022) (1)
- Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM (2022) (1)
- Faculty of 1000 evaluation for Beta-band oscillations--signalling the status quo? (2011) (1)
- S43. A PROOF-OF-MECHANISM STUDY OF THE PDE10 INHIBITOR RG7203 IN PATIENTS WITH PROBING REWARD FUNCTIONS WITH IMAGING AND BEHAVIORAL APPROACHES (2018) (1)
- Author response: A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning (2015) (1)
- A Functional MRI Study of Exploratory Behaviors in Early Adolescence (P2.243) (2015) (1)
- Faculty of 1000 evaluation for Binding by asynchrony: the neuronal phase code. (2011) (1)
- The neurogenetics of exploration and exploitation Supplementary Material (2009) (1)
- Author response: Intermittent subthalamic nucleus deep brain stimulation induces risk-aversive behavior in human subjects (2018) (1)
- P.3.b.007 Intact striatal dopaminergic modulation of reward learning and daily-life reward-oriented behaviour in relatives of individuals with psychotic disorder (2017) (1)
- Biophysical and Architectural Mechanisms of Subthalamic Theta under Response Conflict (2021) (1)
- Modeling Negative Symptoms in Schizophrenia (2018) (1)
- Corrigendum: Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation (2010) (1)
- Acute Stress Selectively Reduces Reward Sensitivity how this access benefits you. Your story matters (2013) (1)
- Faculty Opinions recommendation of The contribution of striatal pseudo-reward prediction errors to value-based decision-making. (2019) (0)
- Reduced susceptibility to confirmation bias in schizophrenia (2014) (0)
- Running head : STRESS EFFECTS ON LEARNING IN AGING 1 Stress Modulates Reinforcement Learning in Younger and Older Adults (2012) (0)
- Reviewing Editors (2016) (0)
- PRELIM II(EDI BOARD) (2017) (0)
- Adaptive control of synaptic plasticity integrates micro- and macroscopic network function (2022) (0)
- Faculty Opinions recommendation of Dopamine D2 receptors in discrimination learning and spine enlargement. (2020) (0)
- PRELIM II(EDI BOARD) (2017) (0)
- Neuron NeuroView Interactionist Neuroscience (2015) (0)
- PRELIM II(EDI BOARD) (2017) (0)
- PRELIM II(EDI BOARD) (2018) (0)
- Beyond Drift Diffusion Models: Fitting a broad class of decision and RL models with HDDM (2022) (0)
- PRELIM II(EDI BOARD) (2017) (0)
- Bad advice alters choice in the probabilistic selection task: (722292011-126) (2013) (0)
- T62. A COMPUTATIONAL ANALYSIS OF MOTIVATIONAL DEFICITS IN SCHIZOPHRENIA SPECTRUM DISORDERS (2020) (0)
- PRELIM II(EDI BOARD) (2017) (0)
- Ventromedial Prefrontal Cortex Lesions Impair Value Updating of Unchosen Stimuli in a Reversal Task (2009) (0)
- Converging evidence linking reinforcement learning deficits in schizophrenia to impairments in the representation of expected value (2018) (0)
- Rate-space attractors and low dimensional dynamics interact with spike-synchrony statistics in neural networks (2019) (0)
- Stimulation, and Medication in Parkinsonism Hold Your Horses: Impulsivity, Deep Brain (2008) (0)
- Motivational deficits in schizophrenia relate to abnormalities in cortical learning rate signals (2018) (0)
- PRELIM II(EDI BOARD) (2018) (0)
- PRELIM II(EDI BOARD) (2018) (0)
- Faculty Opinions recommendation of Phasic dopamine release in the rat nucleus accumbens symmetrically encodes a reward prediction error term. (2014) (0)
- Title : Biases in the explore-exploit tradeoff in addictions : the role of avoidance of uncertainty Running Title : Uncertainty Avoidance in Addictions (2017) (0)
- Faculty Opinions recommendation of Time-varying decision boundaries: insights from optimality analysis. (2019) (0)
- Task related dissociation in performance monitoring as a function of obsessive-compulsive symptoms (2008) (0)
- CNTRICS Long-Term Memory Tasks 1 Abstract Word Count : 163 Text Body Word Count : 8 , 910 CNTRICS Final Task Selection : Long-term Memory (2010) (0)
- Faculty Opinions recommendation of Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex. (2016) (0)
- PRELIM II(EDI BOARD) (2018) (0)
- PRELIM II(EDI BOARD) (2018) (0)
- Faculty Opinions recommendation of Thermodynamics and signatures of criticality in a network of neurons. (2018) (0)
- Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data (2020) (0)
- Dynamic Gaze Effects on Cost-Benefit Decisions: from Value Modulation to Additive Influences (2019) (0)
- Dopaminergic modulation of reward responses in the striatum of individuals with a genetic risk for psychosis (2016) (0)
- Faculty Opinions recommendation of Challenges to body fluid homeostasis differentially recruit phasic dopamine signaling in a taste-selective manner. (2018) (0)
- ABC-NN: Approximate Bayesian Computation with Neural Networks to learn likelihood functions for efficient parameter estimation (2019) (0)
- Faculty Opinions recommendation of Role for subthalamic nucleus neurons in switching from automatic to controlled eye movement. (2008) (0)
- ! Title : Within and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory (2017) (0)
- PRELIM II(EDI BOARD) (2017) (0)
- PRELIM II(EDI BOARD) (2018) (0)
- The drift diffusion model as the choice rule in reinforcement learning (2016) (0)
- Cognitive Frontal Theta Overrides Pavlovian Learning Biases (2014) (0)
- Cognitive [Computational] Neuroscience Test Reliability and Clinical Applications for Serious Mental Illness (CNTRaCS) Consortium: Progress and Future Directions. (2022) (0)
- Toolbox for the Reinforcement Learning Drift Diffusion Model (2019) (0)
- Faculty Opinions recommendation of Two types of dopamine neuron distinctly convey positive and negative motivational signals. (2009) (0)
- PRELIM II(EDI BOARD) (2018) (0)
- Computational advantages of dopaminergic states for decision making (2019) (0)
- Behavioral / Cognitive Frontal Theta Overrides Pavlovian Learning Biases (2017) (0)
- Encoder-Decoder Neural Architectures for Fast Amortized Inference of Cognitive Process Models (2020) (0)
- GM EEG data zip 1 of 2 (2015) (0)
- A computational neuroimaging study of reinforcement learning and goal-directed exploration in schizophrenia spectrum disorders. (2023) (0)
- PRELIM II(EDI BOARD) (2017) (0)
- Outstanding Reviewers of 2015 (2016) (0)
- PRELIM II(EDI BOARD) (2017) (0)
- PRELIM II(EDI BOARD) (2017) (0)
- PRELIM II(EDI BOARD) (2018) (0)
- Faculty Opinions recommendation of Using psychophysics to ask if the brain samples or maximizes. (2015) (0)
- PRELIM II(EDI BOARD) (2018) (0)
- F9. REDUCED UNCERTAINTY-DRIVEN EXPLORATION AND ASSOCIATED NEURAL REWARD-RELATED SIGNALS RELATE TO MOTIVATIONAL DEFICIT SEVERITY (2019) (0)
- S45. DEFICITS IN INFORMATION-SEEKING BEHAVIOR IN SCHIZOPHRENIA: AN ALTERNATIVE MECHANISM OF AVOLITION (2019) (0)
- Faculty of 1000 evaluation for Dopamine neuron activity before action initiation gates and invigorates future movements. (2018) (0)
- 147. Abnormal Frontal Cortical Activity During Rapid Flexible Decision-Making in Schizophrenia: Relationships With Motivational Deficits. (2017) (0)
- PRELIM II(EDI BOARD) (2017) (0)
- GM EEG data zip 2 of 2 (2015) (0)
- PRELIM II(EDI BOARD) (2018) (0)
- Faculty Opinions recommendation of Changes in cortical dopamine D1 receptor binding associated with cognitive training. (2009) (0)
- PRELIM II(EDI BOARD) (2018) (0)
This paper list is powered by the following services:
What Schools Are Affiliated With Michael Joshua Frank?
Michael Joshua Frank is affiliated with the following schools:
