Research Interests
- Developmental Cognitive Neuroscience
- Numerical and mathematical development
- Psychological reasoning (understanding the thoughts, goals, intentions of others)
- EEG/ERP
- fNIRS
- Executive Function
- Theory of Mind
Research Description
My main research focus is on the nature and origins of conceptual knowledge: how it arises, the functional organization and response properties of the brain that underlie it, and the contributions of nature and nurture to its development. I investigate these questions in the areas of quantitative, spatial, and psychological reasoning with young infants, children, and adults using event-related brain potentials (ERPs), optical imaging (fNIRS), as well as behavioral measures.
I also collaborate with others to apply this work to issues in public health, medicine, and education.
Education
Ph.D., Harvard University
Awards and Honors
- Association for Psychological Science (APS) Fellow, 2022
- Helen Corley Petit Scholar 2018-19
- International Congress of Infant Studies, (ICIS) Distinguished Early Career Award 2018
- University of Illinois LEAP Scholar 2016-18
Additional Campus Affiliations
Faculty Member, Neuroscience Program
Faculty Affiliate, Beckman Institute
External Links
Recent Publications
Aran, Ö., Garcia, S. E., Hankin, B. L., Hyde, D. C., & Davis, E. P. (2023). Signatures of emotional face processing measured by event-related potentials in 7-month-old infants. Developmental psychobiology, 65(2), [e22361]. https://doi.org/10.1002/dev.22361
Chen, C. C., Jang, S., Piazza, M., & Hyde, D. C. (2023). Characterizing exact arithmetic abilities before formal schooling. Cognition, 238, [105481]. https://doi.org/10.1016/j.cognition.2023.105481
Hyde, D. C. (2023). Cognitive neuroscience: An abstract sense of number in the infant brain. Current Biology, 33(10), R400-R402. https://doi.org/10.1016/j.cub.2023.03.079
Mou, Y., Zhang, B., & Hyde, D. C. (2023). Directionality in the interrelations between approximate number, verbal number, and mathematics in preschool-aged children. Child development, 94(2), e67-e84. https://doi.org/10.1111/cdev.13879
Liu, Y., Sánchez Hernández, F., Ting, F., & Hyde, D. C. (2022). Comparing fixed-array and functionally-defined channel of interest approaches to infant functional near-infrared spectroscopy data. NeuroImage, 261, [119520]. https://doi.org/10.1016/j.neuroimage.2022.119520
