ALT Human and Machine Learning Lab logo, with three converging boxes around a gear. The gear represents learning mechanisms, and the boxes represent a process of converging on common understanding of human learning and high-performance machine learning.

ALT An overview of my recent research, which I will continue at UWM. I use fMRI to study how representational geometry, i.e., the relationship of neural patterns of different events to one another, reflects structure in the world (Morton et al. 2020, PNAS). I also use representational similarity methods to examine how semantic knowledge about real-world people and places is represented in the brain and how knowledge about different events becomes integrated in the medial temporal lobe (Morton et al. in press, Cerebral Cortex). Finally, I examine how statistical learning about regularities in when events occur provides clues about underlying structure in the world, which is represented in human hippocampus (Pudhiyidath & Morton et al. 2022, JOCN).

ALT Schematic illustrating study where paintings are either presented in blocked order, with one artist at a time, or interleaved order, with multiple artists in a given learning block. On each trial, participants are shown a painting and asked to guess the artist, and are then shown the correct artist.