Autistic traits, but not schizotypy, predict increased weighting of sensory information in Bayesian visual integration P Karvelis, AR Seitz, SM Lawrie, P Seriès ELife 7, e34115, 2018 | 98 | 2018 |
Acquisition of visual priors and induced hallucinations in chronic schizophrenia V Valton, P Karvelis, KL Richards, AR Seitz, SM Lawrie, P Seriès Brain 142 (8), 2523-2537, 2019 | 39 | 2019 |
Individual differences in computational psychiatry: A review of current challenges P Karvelis, MP Paulus, AO Diaconescu Neuroscience & Biobehavioral Reviews 148, 105137, 2023 | 30 | 2023 |
Increased belief instability in psychotic disorders predicts treatment response to metacognitive training DJ Hauke, V Roth, P Karvelis, RA Adams, S Moritz, S Borgwardt, ... Schizophrenia bulletin 48 (4), 826-838, 2022 | 10 | 2022 |
The influence of feedback on task-switching performance: A drift diffusion modeling account R Cohen Hoffing, P Karvelis, S Rupprechter, P Seriès, AR Seitz Frontiers in integrative neuroscience 12, 1, 2018 | 10 | 2018 |
Altered perception of environmental volatility during social learning in emerging psychosis DJ Hauke, M Wobmann, C Andreou, AJ Mackintosh, R de Bock, ... Computational Psychiatry 8 (1), 1, 2024 | 7 | 2024 |
Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review P Karvelis, CE Charlton, SG Allohverdi, P Bedford, DJ Hauke, ... Network Neuroscience 6 (4), 1066-1103, 2022 | 7 | 2022 |
A computational model of hopelessness and active-escape bias in suicidality P Karvelis, AO Diaconescu Computational Psychiatry 6 (1), 34, 2022 | 6 | 2022 |
Visual statistical learning and integration of perceptual priors are intact in attention deficit hyperactivity disorder KL Richards, P Karvelis, SM Lawrie, P Seriès PloS one 15 (12), e0243100, 2020 | 5 | 2020 |
Suicide prevention and ketamine: insights from computational modeling CE Charlton, P Karvelis, RS McIntyre, AO Diaconescu Frontiers in psychiatry 14, 1214018, 2023 | 2 | 2023 |
Perceptual Bayesian inference in autism and schizophrenia P Karvelis University of Edinburgh, 2020 | 2 | 2020 |
Rethinking interpersonal judgments: dopamine antagonists impact attributional dynamics AO Diaconescu, P Karvelis, DJ Hauke Trends in Cognitive Sciences, 2024 | | 2024 |
Enhanced Sensory Precision in Autism Spectrum Disorders and Schizophrenia P Series, NA Chrysaitis, V Valton, P Karvelis, S Lawrie, R Jardri Biological Psychiatry 95 (10), S5, 2024 | | 2024 |
Clarifying the reliability paradox: poor test-retest reliability attenuates group differences P Karvelis, AO Diaconescu OSF, 2024 | | 2024 |
Identifying Suicidal Subtypes Using Computational Modelling P Laessing, P Karvelis, J Kennedy, CC Zai, P Dayan, AO Diaconescu 79th Annual Scientific Meeting of the Society of Biological Psychiatry (SOBP …, 2024 | | 2024 |
Formalizing Pavlovian Biases During Probabilistic Aversive Learning for Suicide Prevention A Diaconescu, P Laessing, P Karvelis, P Dayan Elsevier, 2024 | | 2024 |
Test-retest reliability of behavioral and computational measures of advice taking under volatility P Karvelis, DJ Hauke, M Wobmann, C Andreou, A Mackintosh, R de Bock, ... PsyArXiv, 2023 | | 2023 |
Formalizing Pavlovian biases observed inaversive Go/NoGo paradigms for suicideprevention P Laessing, P Karvelis, P Dayan, AO Diaconescu Computational Psychiatry Conference 2023, 2023 | | 2023 |
109. The Challenges of Measuring Individual Differences in Computational Psychiatry P Karvelis, MP Paulus, AO Diaconescu Biological Psychiatry 93 (9), S138, 2023 | | 2023 |
The Influence of Feedback on Task-Switching Performance: A Drift Diffusion Modeling R Cohen Hoffing, P Karvelis, S Rupprechter | | 2018 |