Bradley C. Love
Affiliations: | University of Texas, Austin, Texas | ||
| University College London, London, United Kingdom |
Area:
Cognition, Human learning and Decision makingWebsite:
http://bradlove.org/Google:
"Bradley Love"Mean distance: 15.23 (cluster 15) | S | N | B | C | P |
Children
Sign in to add trainee| Tyler H. Davis | grad student | ||
| Yasuaki Sakamoto | grad student | 2005 | UT Austin |
| Todd M. Gureckis | grad student | 2001-2005 | UT Austin |
| Ross Otto | grad student | 2007-2012 | UT Austin |
| Aaron B. Hoffman | post-doc | UT Austin | |
| Matt Jones | post-doc | 2003- | University of Texas |
| Robert M. Mok | post-doc | 2017-2020 |
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Publications
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| Aho K, Roads BD, Love BC. (2022) System alignment supports cross-domain learning and zero-shot generalisation. Cognition. 227: 105200 |
| Bröker F, Love BC, Dayan P. (2021) When unsupervised training benefits category learning. Cognition. 221: 104984 |
| Bobadilla-Suarez S, Jones M, Love BC. (2021) Robust priors for regularized regression. Cognitive Psychology. 132: 101444 |
| Broschard MB, Kim J, Love BC, et al. (2021) Prelimbic cortex maintains attention to category-relevant information and flexibly updates category representations. Neurobiology of Learning and Memory. 107524 |
| Mok RM, Love BC. (2020) Abstract Neural Representations of Category Membership beyond Information Coding Stimulus or Response. Journal of Cognitive Neuroscience. 1-17 |
| Botvinik-Nezer R, Holzmeister F, Camerer CF, et al. (2020) Variability in the analysis of a single neuroimaging dataset by many teams. Nature |
| Broschard MB, Kim J, Love BC, et al. (2020) Category learning in rodents using touchscreen-based tasks. Genes, Brain, and Behavior |
| Hornsby AN, Love BC. (2020) How decisions and the desire for coherency shape subjective preferences over time. Cognition. 200: 104244 |
| Mack ML, Preston AR, Love BC. (2020) Ventromedial prefrontal cortex compression during concept learning. Nature Communications. 11: 46 |
| Roads BD, Love BC. (2020) Learning as the unsupervised alignment of conceptual systems Nature Machine Intelligence. 2: 76-82 |