David Huber
- Professor
- PSYCHOLOGY & NEUROSCIENCE
Research Summary
Dave's research focuses on human perception (e.g., visual cognition) and memory from a broad-based, computational perspective. To shed light on these basic cognitive processes, he finds converging evidence from behavioral studies (e.g., accuracy and reaction time measures of decision-making) and cognitive neuroscience measures (e.g., event-related potentials and fMRI) in combination with neural network and Bayesian modeling. Ongoing research topics include binocular rivalry, recognition/recall memory, testing effects, letter/word perception, face perception, semantics, and shifts of attention.
Selected publications
Sadil, P. S., Cowell, R. A., & Huber, D. E. (2023). The Push-pull of Serial Dependence Effects: Attraction to the Prior Response and a Repulsion from the Prior Stimulus. Psychonomic Bulletin & Review.
Nikiforova, M., Cowell, R. A., & Huber, D. E. (2023). Gestalt formation promotes awareness of suppressed visual stimuli during binocular rivalry. Visual Cognition, 31(1), 18-42.
Sadil, P., Cowell, R. A., & Huber, D. E. (2022). A modeling framework for determining modulation of neural-level tuning from non-invasive human fMRI data. Communications Biology, 5 (Article No. 1244), 1-12.
Park, J., & Huber, D. E. (2022). A visual sense of number emerges from divisive normalization in a simple center-surround convolutional network. eLife. 1-16.
Jacob, L. P. L., Potter, K. W., & Huber, D. E. (2021). A neural habituation account of the negative compatibility effect. Journal of Experimental Psychology: General, 150(12), 2567-2590.