Tyler Davis, Ph.D.
Categorization is a critical cognitive capacity that allows us to generalize knowledge that we've learned from past experiences to future events. My lab studies how people form and represent categories. We take a multi-disciplinary approach to studying categorization that draws on diverse theories and methods from behavioral research to computational modeling and fMRI. Our research seeks not only to inform basic scientific theory in categorization, but also connect to categorization research with topics in health and clinical psychology.
Current topics include:
- How does past experience and context affect how we represent categories?
- How do neural and psychological category representations relate to one another?
- How does categorization relate to other faculties like long-term memory and object recognition?
- How do category representations affect how we reason about and interact with members of those categories?
Dr. Davis is admitting students for Fall 2016. Email him to discuss.
- Davis, T., & Poldrack, R.A. (2013). Measuring neural representations with fMRI: practices and pitfalls.Annals of the New York Academy of Sciences. DOI: 10.1111/nyas.12156.
- Davis, T., & Poldrack, R.A. (2013). Quantifying the Internal Structure of Categories Using a Neural Typicality Measure. Cerebral Cortex. DOI: 10.1093/cercor/bht014.
- Sanders, M., Davis, T., & Love, B.C. (2013). Are Better Examples Beautiful or Are Beautiful Examples Better? Exploring the Relationship Between Beauty and Category Structure. Psychonomic Bulletin & Review, 20, 566-573.
- Davis, T., Love, B.C., & Maddox, W.T. (2012). Age-related Declines in the Fidelity of Newly Acquired Category Representation. Learning & Memory, 19, 325-329.
- Davis, T., Love, B.C., & Preston, A.R. (2012b). Striatal and Hippocampal Entropy and Recognition Signals in Category Learning: Simultaneous Processes Revealed by Model-based fMRI. Journal of Experimental Psychology: Learning, Memory & Cognition, 38, 821-839.
- Davis, T., Love, B.C., & Preston, A.R. (2012a). Learning Exceptions to the Rule: Model-Based fMRI Reveals Specialized Representations for Surprising Category Members. Cerebral Cortex, 22, 260-273.
- Davis, T., & Love, B.C. (2010). Memory for Category Information is Idealized Through Contrast with Competing Options. Psychological Science, 21, 234-242.
- Davis, T., Love, B.C., & Maddox, W.T. (2009). Anticipatory Emotions in Decision Tasks: Covert markers of Value or Attentional Processes? Cognition, 112, 195-200.
- Davis, T., Love, B.C., & Maddox, W.T. (2009). Two Pathways to Stimulus Encoding in Category Learning? Memory & Cognition, 37, 394-413.
Teaching Interests and Activities
- Cognitive Neuroscience
- Quantitative Methods
- fMRI Design and Analysis
AddressTexas Tech University, Department of Psychological Sciences, Box 42051 Lubbock, TX 79409-2051