Edward H. Patzelt
Affiliations: | Harvard University, Cambridge, MA, United States |
Area:
computational psychiatry, reinforcement learningGoogle:
"Edward Patzelt"Mean distance: 16.49 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Angus W. MacDonald | research assistant | UMN | |
| Joshua Buckholtz | grad student | ||
| Sam J. Gershman | grad student |
Collaborators
Sign in to add collaborator| Zeb L. Kurth-Nelson | collaborator | UMN | |
| Angus W. MacDonald | collaborator | UMN | |
| Krista M. Wisner | collaborator | UMN |
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Publications
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| Kalender G, Olsen ST, Patzelt EH, et al. (2025) Test-retest reliability of computational parameters versus manifest behavior for decisional flexibility in psychosis. Psychological Assessment |
| MacDonald AW, Patzelt E, Kurth-Nelson Z, et al. (2025) Computational modeling of reversal learning impairments in schizophrenia and bipolar disorder reveals shared failure to exploit rewards. Journal of Psychopathology and Clinical Science |
| Patzelt EH, Kool W, Millner AJ, et al. (2019) The transdiagnostic structure of mental effort avoidance. Scientific Reports. 9: 1689 |
| Patzelt EH, Hartley CA, Gershman SJ. (2018) Computational Phenotyping: Using Models to Understand Individual Differences in Personality, Development, and Mental Illness. Personality Neuroscience. 1: e18 |
| Patzelt EH, Kool W, Millner AJ, et al. (2018) Incentives Boost Model-Based Control Across a Range of Severity on Several Psychiatric Constructs. Biological Psychiatry |
| MacDonald A, Patzelt E, Kurth-Nelson Z, et al. (2017) 40. Exploration not Perseveration: Computational Modeling of Probabilistic Reversal Learning Impairments in Psychosis Schizophrenia Bulletin. 43: S22-S23 |
| Patzelt EH, Kurth-Nelson Z, Lim KO, et al. (2014) Excessive state switching underlies reversal learning deficits in cocaine users. Drug and Alcohol Dependence. 134: 211-7 |
| Wisner KM, Patzelt EH, Lim KO, et al. (2013) An intrinsic connectivity network approach to insula-derived dysfunctions among cocaine users. The American Journal of Drug and Alcohol Abuse. 39: 403-13 |