Corey J. Bohil, Ph.D.
Affiliations: | University of Texas at Austin, Austin, Texas, U.S.A. |
Area:
cognitive psychology, category learning, decision makingGoogle:
"Corey Bohil"Mean distance: 16.83 (cluster 15) | S | N | B | C | P |
Parents
Sign in to add mentor| W Todd Maddox | grad student | 2002 | UT Austin | |
| (Feature salience and the inverse base -rate effect.) | ||||
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Publications
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| Bohil CJ, Phelps A, Neider MB, et al. (2023) Explicit and implicit category learning in categorical visual search. Attention, Perception & Psychophysics. 85: 2131-2149 |
| Williams SE, Sarno DM, Lewis JE, et al. (2019) The Psychological Interaction of Spam Email Features. Ergonomics. 1-32 |
| Kleider-Offutt HM, Bond AD, Williams SE, et al. (2018) When a face type is perceived as threatening: Using general recognition theory to understand biased categorization of Afrocentric faces. Memory & Cognition |
| Killingsworth C, Hill A, Patel P, et al. (2018) Age effects on category rule learning Journal of Vision. 18: 775 |
| patel p, zlatkin a, wismer a, et al. (2018) Awareness of category rule learning Journal of Vision. 18: 402 |
| Wismer AJ, Bohil CJ. (2017) Base-rate sensitivity through implicit learning. Plos One. 12: e0179256 |
| Ercolino A, Patel P, Bohil C, et al. (2017) Comparing visual search for categories defined with an explicit versus implicit rule Journal of Vision. 17: 1123 |
| Williams S, Wismer A, Schiebel T, et al. (2016) Ecologically Valid Categorization and Best-Classifer Feedback Journal of Vision. 16: 405 |
| Hill A, Wismer A, Bohil C. (2016) A Subjective Measure of Explicit and Implicit Category Rule Learning Journal of Vision. 16: 401 |
| Patel P, Hill A, Nayee U, et al. (2016) Observing Prefrontal Cortex Activity During Rule-Based and Information-Integration Category Learning Journal of Vision. 16: 261 |