Research graph
References from Task-General Efficiency of Evidence Accumulation as a Computationally Defined Neurocognitive Trait: Implications for Clinical Neuroscience. Local targets link to admitted publications; unresolved targets remain external evidence.
Inhibitory control and psychopathology: A meta-analysis of studies using the stop signal task
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Validity of the executive function theory of attention-deficit/hyperactivity disorder: A meta-analytic review
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Cognition in schizophrenia: Core psychological and neural mechanisms
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Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: A meta-analysis and review
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What does the facial dot-probe task tell us about attentional processes in social anxiety? A systematic review
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The neural basis of inhibition in cognitive control
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A neuromarker of sustained attention from whole-brain functional connectivity
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From connectome to cognition: The search for mechanism in human functional brain networks
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Identification of common neural circuit disruptions in cognitive control across psychiatric disorders
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Insights into the neural basis of response inhibition from cognitive and clinical neuroscience
10.1016/j.neubiorev.2008.08.016 · 2009 · External reference
Neurocognitive deficits and functional outcome in schizophrenia: Are we measuring the “right stuff”?
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Approaching a consensus cognitive battery for clinical trials in schizophrenia: The NIMH-MATRICS conference to select cognitive domains and test criteria
10.1016/j.biopsych.2004.06.023 · 2004 · External reference
Prefrontal dopamine D1 receptors and working memory in schizophrenia
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Characterizing cognition in ADHD: beyond executive dysfunction
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Neurobiology of the adolescent brain and behavior: Implications for substance use disorders
2010 · External reference
Toward the future of psychiatric diagnosis: The seven pillars of RDoC
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Computational psychiatry: A report from the 2017 NIMH workshop on opportunities and challenges
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Studies of interference in serial verbal reactions
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Executive function in older adults: A structural equation modeling approach
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The unity and diversity of executive functions: A systematic review and re-analysis of latent variable studies
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The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences
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Large-scale analysis of test-retest reliabilities of self-regulation measures
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A psychometrics of individual differences in experimental tasks
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Unresolved reference
1970 · External reference
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10.1037/bul0000192 · 2019 · External reference
Uncovering the structure of self-regulation through data-driven ontology discovery
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10.1111/jcpp.12001 · 2013 · External reference
Behavioral components of impulsivity
10.1037/a0033981 · 2014 · External reference
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10.1525/collabra.134 · 2018 · External reference
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10.1017/s0033291708004558 · 2009 · External reference
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Working memory impairment as an endophenotypic marker of a schizophrenia diathesis
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Deficient response inhibition as a cognitive endophenotype of ADHD
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Evidence that response inhibition is a primary deficit in ADHD
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The role of thought suppression in depressive rumination
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Brief report: Thought suppression and depression risk
10.1080/02699930341000220 · 2004 · External reference
Neurocognitive deficit in schizophrenia: A quantitative review of the evidence
10.1037/0894-4105.12.3.426 · 1998 · External reference
Neurocognition in first-episode schizophrenia: A meta-analytic review
10.1037/a0014708 · 2009 · External reference
Meta-analysis of cognitive impairment in first-episode bipolar disorder: Comparison with first-episode schizophrenia and healthy controls
10.1093/schbul/sbu198 · 2015 · External reference
Transdiagnostic mechanisms of psychopathology in youth: Executive functions, dependent stress, and rumination
10.1007/s10608-019-10016-z · 2019 · External reference
Obsessive-compulsive disorder is associated with broad impairments in executive function: A meta-analysis
10.1177/2167702614534210 · 2015 · External reference
The association between executive functioning and psychopathology: General or specific?
10.1017/s0033291717003269 · 2018 · External reference
Neuropsychologic theory and findings in attention-deficit/hyperactivity disorder: The state of the field and salient challenges for the coming decade
10.1016/j.biopsych.2004.11.011 · 2005 · External reference
Model-based cognitive neuroscience approaches to computational psychiatry: Clustering and classification
10.1177/2167702614565359 · 2015 · External reference
Computational models of anxiety: Nascent efforts and future directions
10.1177/0963721418818441 · 2019 · External reference
Modeling psychopathology: From data models to formal theories
2019 · External reference
How computational modeling can force theory building in psychological science [published online ahead of print Jan 22]
10.1177/1745691620970585 · 2021 · External reference
Some targets for mathematical psychology
10.1016/0022-2496(75)90025-5 · 1975 · External reference
Mathematical psychology: Prospects for the 21 century: A guest editorial
10.1016/j.jmp.2008.05.001 · 2008 · External reference
Mathematical psychology
2012 · External reference
Striatum and pre-SMA facilitate decision-making under time pressure
10.1073/pnas.0805903105 · 2008 · External reference
Approaches to analysis in model-based cognitive neuroscience
10.1016/j.jmp.2016.01.001 · 2017 · External reference
Toward a model-based cognitive neuroscience of mind wandering
10.1016/j.neuroscience.2015.09.053 · 2015 · External reference
Theory-based computational psychiatry
10.1016/j.biopsych.2017.07.016 · 2017 · External reference
Computational psychiatry as a bridge from neuroscience to clinical applications
10.1038/nn.4238 · 2016 · External reference
Psychology and neurobiology of simple decisions
10.1016/j.tins.2004.01.006 · 2004 · External reference
A theory of memory retrieval
10.1037/0033-295x.85.2.59 · 1978 · External reference
The time course of perceptual choice: The leaky, competing accumulator model
10.1037/0033-295x.108.3.550 · 2001 · External reference
Diffusion models in experimental psychology: A practical introduction
10.1027/1618-3169/a000218 · 2013 · External reference
The attentional drift-diffusion model extends to simple purchasing decisions
10.3389/fpsyg.2012.00193 · 2012 · External reference
Computational and process models of decision making in psychology and behavioral economics
2014 · External reference
Modeling individual differences in the Go/No-go task with a diffusion model
2018 · External reference
Modeling the covariance structure of complex datasets using cognitive models: An application to individual differences and the heritability of cognitive ability
10.1111/cogs.12627 · 2018 · External reference
Diffusion models of the flanker task: Discrete versus gradual attentional selection
10.1016/j.cogpsych.2011.08.001 · 2011 · External reference
Conflict tasks and the diffusion framework: Insight in model constraints based on psychological laws
10.1016/j.cogpsych.2014.03.002 · 2014 · External reference
Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions
10.1016/j.cogpsych.2015.02.005 · 2015 · External reference
The simplest complete model of choice response time: Linear ballistic accumulation
10.1016/j.cogpsych.2007.12.002 · 2008 · External reference
Diffusion decision model: Current issues and history
10.1016/j.tics.2016.01.007 · 2016 · External reference
Diffusion versus linear ballistic accumulation: Different models but the same conclusions about psychological processes?
10.3758/s13423-010-0022-4 · 2011 · External reference
The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models
10.3758/s13423-017-1417-2 · 2019 · External reference
Diffusion vs. linear ballistic accumulation: Different models, different conclusions about the slope of the zROC in recognition memory
2017 · External reference
Diffusion modeling and intelligence: Drift rates show both domain-general and domain-specific relations with intelligence
10.1037/xge0000774 · 2020 · External reference
Experimental validation of the diffusion model based on a slow response time paradigm
10.1007/s00426-017-0945-8 · 2019 · External reference
A cautionary note on evidence-accumulation models of response inhibition in the stop-signal paradigm
10.1007/s42113-020-00075-x · 2020 · External reference
Testing the validity of conflict drift-diffusion models for use in estimating cognitive processes: A parameter-recovery study
10.3758/s13423-017-1271-2 · 2018 · External reference
10.20982/tqmp.16.2.p073 · 2020 · Admitted local publication
The neural basis of decision making
10.1146/annurev.neuro.29.051605.113038 · 2007 · External reference
Neural control of voluntary movement initiation
10.1126/science.274.5286.427 · 1996 · External reference
Bounded integration in parietal cortex underlies decisions even when viewing duration is dictated by the environment
10.1523/jneurosci.4761-07.2008 · 2008 · External reference
A generative joint model for spike trains and saccades during perceptual decision-making
10.3758/s13423-016-1056-z · 2016 · External reference
Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making
10.1038/s41593-020-0696-5 · 2020 · External reference
Quantifying the benefits of using decision models with response time and accuracy data
10.3758/s13428-020-01372-w · 2020 · External reference
Neurocognitive psychometrics of intelligence: How measurement advancements unveiled the role of mental speed in intelligence differences
10.1177/0963721419896365 · 2020 · External reference
Cognitive models in intelligence research: Advantages and recommendations for their application
2018 · External reference
Psychological interpretation of the ex-Gaussian and shifted Wald parameters: A diffusion model analysis
10.3758/pbr.16.5.798 · 2009 · External reference
Acute stimulant treatment and reinforcement increase the speed of information accumulation in children with ADHD
10.1007/s10802-016-0222-0 · 2017 · External reference
Motivational incentives modulate age differences in visual perception
10.1037/a0023297 · 2011 · External reference
Incentive motivation improves numerosity discrimination: Insights from pupillometry combined with drift-diffusion modelling
10.1038/s41598-020-59415-3 · 2020 · External reference
Annual research review: Reaction time variability in ADHD and autism spectrum disorders: Measurement and mechanisms of a proposed trans-diagnostic phenotype
10.1111/jcpp.12217 · 2014 · External reference
Trait characteristics of diffusion model parameters
2016 · External reference
Individual differences in components of reaction time distributions and their relations to working memory and intelligence
10.1037/0096-3445.136.3.414 · 2007 · External reference
Modeling mental speed: Decomposing response time distributions in elementary cognitive tasks and correlations with working memory capacity and fluid intelligence
2016 · External reference
Predicting fluid intelligence by components of reaction time distributions from simple choice reaction time tasks
2016 · External reference
Individual differences, aging, and IQ in two-choice tasks
10.1016/j.cogpsych.2009.09.001 · 2010 · External reference
Individual differences in cortical processing speed predict cognitive abilities: A model-based cognitive neuroscience account
10.1007/s42113-018-0021-5 · 2019 · External reference
Retest reliability of the parameters of the Ratcliff diffusion model
10.1007/s00426-016-0770-5 · 2017 · External reference
Effects of aging and IQ on item and associative memory
10.1037/a0023810 · 2011 · External reference
The role of speed in ADHD-related working memory deficits: A time-based resource-sharing and diffusion model account
10.1177/2167702616668320 · 2017 · External reference
Integrating impairments in reaction time and executive function using a diffusion model framework
10.1007/s10802-013-9715-2 · 2013 · External reference
Evidence for higher reaction time variability for children with ADHD on a range of cognitive tasks including reward and event rate manipulations
10.1037/a0022155 · 2011 · External reference
Reaction time variability in ADHD: A meta-analytic review of 319 studies
10.1016/j.cpr.2013.06.001 · 2013 · External reference
Intra-individual reaction time variability in schizophrenia, depression and borderline personality disorder
10.1016/j.bandc.2007.05.007 · 2008 · External reference
Reaction time impairment in schizophrenia and affective illness: The role of attention
10.1016/0006-3223(89)90214-x · 1989 · External reference
Increased intrasubject variability in response time in youths with bipolar disorder and at-risk family members
10.1097/chi.0b013e3181a27527 · 2009 · External reference
Modelling ADHD: A review of ADHD theories through their predictions for computational models of decision-making and reinforcement learning
10.1016/j.neubiorev.2016.09.002 · 2016 · External reference
Evaluating vigilance deficits in ADHD: A meta-analysis of CPT performance
10.1037/a0027205 · 2012 · External reference
What cognitive processes are “sluggish” in sluggish cognitive tempo?
10.1037/ccp0000446 · 2019 · External reference
Testing formal predictions of neuroscientific theories of ADHD with a cognitive model–based approach
10.1037/abn0000357 · 2018 · External reference
A diffusion-model analysis of timing deficits among children with ADHD
10.1037/neu0000562 · 2019 · External reference
Evaluating the consequences of impaired monitoring of learned behavior in attention-deficit/hyperactivity disorder using a Bayesian hierarchical model of choice response time
10.1037/neu0000257 · 2016 · External reference
A diffusion model analysis of sustained attention in children with attention deficit hyperactivity disorder
10.1037/neu0000636 · 2020 · External reference
Decomposing attention-deficit/hyperactivity disorder (ADHD)-related effects in response speed and variability
10.1037/a0029936 · 2012 · External reference
A behavioral neuroenergetics theory of ADHD
10.1016/j.neubiorev.2013.02.011 · 2013 · External reference
Specificity of basic information processing and inhibitory control in attention deficit hyperactivity disorder
10.1017/s0033291713000639 · 2014 · External reference
ADHD performance reflects inefficient but not impulsive information processing: A diffusion model analysis
10.1037/a0031533 · 2013 · External reference
Using the diffusion model to explain cognitive deficits in attention deficit hyperactivity disorder
10.1007/s10802-016-0151-y · 2017 · External reference
Emotion–cognition interactions in Attention-Deficit/Hyperactivity Disorder: Increased early attention capture and weakened attentional control in emotional contexts
2020 · External reference
A diffusion modeling approach to understanding contextual cueing effects in children with ADHD
10.1111/jcpp.12250 · 2014 · External reference
Modeling the effects of methylphenidate on interference and evidence accumulation processes using the conflict linear ballistic accumulator
10.1007/s00213-019-05316-x · 2019 · External reference
Decision processes and the slowing of simple choices in schizophrenia
10.1037/abn0000117 · 2015 · External reference
Modelling reaction time distribution of fast decision tasks in schizophrenia: Evidence for novel candidate endophenotypes
10.1016/j.psychres.2018.08.067 · 2018 · External reference
Dissecting the impact of depression on decision-making
10.1017/s0033291719001570 · 2020 · External reference
Evidence accumulation and associated error-related brain activity as computationally informed prospective predictors of substance use in emerging adulthood
2020 · External reference
Impaired evidence accumulation as a transdiagnostic vulnerability factor in psychopathology
10.3389/fpsyt.2021.627179 · 2021 · External reference
A phenome-wide examination of neural and cognitive function
10.1038/sdata.2016.110 · 2016 · External reference
Resolving the paradox of common, harmful, heritable mental disorders: Which evolutionary genetic models work best?
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Cognitive efficiency beats subtraction-based metrics as a reliable individual difference dimension relevant to self-control
2020 · External reference
Cognitive modeling informs interpretation of Go/No-go task-related neural activations and their links to externalizing psychopathology
2020 · External reference
The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies
10.1037/abn0000258 · 2017 · External reference
A comparison of macaque behavior and superior colliculus neuronal activity to predictions from models of two-choice decisions
10.1152/jn.01049.2002 · 2003 · External reference
A supramodal accumulation-to-bound signal that determines perceptual decisions in humans
10.1038/nn.3248 · 2012 · External reference
How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters
10.1016/j.jmp.2016.03.003 · 2017 · External reference
Target selection signals influence perceptual decisions by modulating the onset and rate of evidence accumulation
10.1016/j.cub.2015.12.049 · 2016 · External reference
Domain general mechanisms of perceptual decision making in human cortex
10.1523/jneurosci.5984-08.2009 · 2009 · External reference
Neural correlates of evidence accumulation in a perceptual decision task
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Evidence accumulation detected in BOLD signal using slow perceptual decision making
10.1016/j.jneumeth.2017.01.012 · 2017 · External reference
A general mechanism for perceptual decision-making in the human brain
10.1038/nature02966 · 2004 · External reference
Perceptual decision neurosciences - a model-based review
10.1016/j.neuroscience.2014.07.031 · 2014 · External reference
Brain areas consistently linked to individual differences in perceptual decision-making in younger as well as older adults before and after training
10.1162/jocn.2010.21564 · 2011 · External reference
Evidence accumulation during perceptual decisions in humans varies as a function of dorsal frontoparietal organization
10.1038/s41562-020-0863-4 · 2020 · External reference
Catecholamine modulation of evidence accumulation during perceptual decision formation: A randomized trial
10.1162/jocn_a_01393 · 2019 · External reference
Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work
10.1126/science.aaz5891 · 2020 · External reference
Unresolved reference
External reference
