Patrick G. Bissett
Affiliations: | Psychology | Vanderbilt University, Nashville, TN |
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"Patrick Bissett"Cross-listing: Neurotree
Parents
Sign in to add mentorJohn Jonides | research assistant | University of Michigan (Neurotree) | ||
Gordon D. Logan | grad student | 2009-2014 | Vanderbilt | |
(Evaluating the Independent Race Model for the Stop Signal Paradigm: Context Independence is Violated at Short Stop Signal Delays.) |
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Publications
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Bissett PG, Eisenberg IW, Shim S, et al. (2024) Cognitive tasks, anatomical MRI, and functional MRI data evaluating the construct of self-regulation. Scientific Data. 11: 809 |
Bissett PG, Eisenberg IW, Shim S, et al. (2023) Cognitive tasks, anatomical MRI, and functional MRI data evaluating the construct of self-regulation. Biorxiv : the Preprint Server For Biology |
Jaffe PI, Poldrack RA, Schafer RJ, et al. (2023) Modelling human behaviour in cognitive tasks with latent dynamical systems. Nature Human Behaviour |
Bissett PG, Jones HM, Hagen MP, et al. (2022) A dual-task approach to inform the taxonomy of inhibition-related processes. Journal of Experimental Psychology. Human Perception and Performance |
Bissett PG, Jones HM, Poldrack RA, et al. (2021) Severe violations of independence in response inhibition tasks. Science Advances. 7 |
Bissett PG, Hagen MP, Jones HM, et al. (2021) Design issues and solutions for stop-signal data from the Adolescent Brain Cognitive Development [ABCD] study. Elife. 10 |
Mazza GL, Smyth HL, Bissett PG, et al. (2020) Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation. Journal of Personality Assessment. 1-8 |
Thompson WH, Wright J, Bissett PG, et al. (2020) Author response: Dataset decay and the problem of sequential analyses on open datasets Elife |
Enkavi AZ, Eisenberg IW, Bissett PG, et al. (2019) Reply to Friedman and Banich: Right measures for the research question. Proceedings of the National Academy of Sciences of the United States of America |
Eisenberg IW, Bissett PG, Zeynep Enkavi A, et al. (2019) Uncovering the structure of self-regulation through data-driven ontology discovery. Nature Communications. 10: 2319 |