Thomas R. Shultz
Affiliations: | Psychology | McGill University, Montreal, QC, Canada |
Area:
Cognitive development, computational modeksWebsite:
http://www.psych.mcgill.ca/perpg/fac/shultz/personal/default.htmGoogle:
"Thomas Shultz"Mean distance: 53433
Children
Sign in to add trainee| Zilong Wang | research assistant | 2021-2022 | McGill |
| Peter S Helfer | grad student | ||
| Vincent G. Berthiaume | grad student | 2011 | McGill |
Collaborators
Sign in to add collaborator| Kevin N. Dunbar | collaborator | McGill | |
| Kevin N. Dunbar | collaborator | 1988-1999 | McGill |
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Publications
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| Nobandegani AS, Shultz TR. (2020) A Resource-Rational, Process-Level Account of the St. Petersburg Paradox. Topics in Cognitive Science |
| Helfer P, Shultz TR. (2019) A computational model of systems memory consolidation and reconsolidation. Hippocampus |
| Helfer P, Shultz TR. (2018) Coupled feedback loops maintain synaptic long-term potentiation: A computational model of PKMzeta synthesis and AMPA receptor trafficking. Plos Computational Biology. 14: e1006147 |
| Kharratzadeh M, Shultz T. (2016) Neural implementation of probabilistic models of cognition Cognitive Systems Research. 40: 99-113 |
| Helfer P, Shultz TR. (2014) The effects of nutrition labeling on consumer food choice: a psychological experiment and computational model. Annals of the New York Academy of Sciences. 1331: 174-85 |
| Dandurand F, Shultz TR. (2014) A comprehensive model of development on the balance-scale task Cognitive Systems Research. 31: 1-25 |
| Kaznatcheev A, Shultz TR. (2013) Limitations of the Dirac formalism as a descriptive framework for cognition. The Behavioral and Brain Sciences. 36: 292-3 |
| Berthiaume VG, Shultz TR, Onishi KH. (2013) A constructivist connectionist model of transitions on false-belief tasks. Cognition. 126: 441-58 |
| Dandurand F, Shultz TR, Rey A. (2012) Including cognitive biases and distance-based rewards in a connectionist model of complex problem solving. Neural Networks : the Official Journal of the International Neural Network Society. 25: 41-56 |
| Shultz TR. (2012) A constructive neural-network approach to modeling psychological development Cognitive Development. 27: 383-400 |