Corey J. Bohil, Ph.D.

University of Texas at Austin, Austin, Texas, U.S.A. 
cognitive psychology, category learning, decision making
"Corey Bohil"
Mean distance: 16.83 (cluster 15)


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W Todd Maddox grad student 2002 UT Austin
 (Feature salience and the inverse base -rate effect.)
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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
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