we use neuroimaging and computational modeling to study how the brain represents and uses uncertain information.
welcome to the neural computation lab
PI: Dr. Megan Peters
submitted & preprints
Odegaard, B., Grimaldi, P., Hah Cho, S., Peters, M.A.K., Lau, H., & Basso, M. (in press). Superior colliculus neuronal ensemble activity signals optimal rather than subjective confidence. Proceedings of the National Academy of Sciences.
Miuccio, M., Liu, Ka Y., Lau, H., & Peters, M.A.K. (2017). Six-fold over-representation of graduates from prestigious universities does not necessitate unmeritocratic selection in the faculty hiring process. PLoS ONE.
Peters, M.A.K.*, Thesen, T.*, Ko, Y.D.*, Maniscalco, B., Carlson, C., Davidson, M., Doyle, W., Kuzniecky, R., Devinsky, O., Halgren, E., & Lau, H. (2017). Human intracranial electrophysiology suggests suboptimal calculations underlie perceptual confidence. Nature Human Behaviour. [pdf] [supplemental material]
Maniscalco, B., Peters, M.A.K., & Lau, H. (2016). Heuristic use of perceptual evidence leads to dissociation between performance and metacognitive sensitivity. Attention, Perception, & Psychophysics. doi:10.3758/s13414-016-1059-x.
Peters, M.A.K., Balzer, J., & Shams, L. (2015). Smaller = denser, and the brain knows it: biases in human density perception mirror the natural distribution of object density. PLoS ONE 10(3), e0119794.
Balzer, J., Peters, M.A.K., & Soatto, S. (2013). Volumetric reconstruction applied to perceptual studies of size and weight. WACV14: IEEE Winter Conference on Applications of Computer Vision. arXiv:1311.2642 [cs.CV].