human behavior

prediction and inference across scales of granularity
A summary of my dissertation research given to the National Centure for Complementary and Integrative Health
Jan 30, 2024 NCCIH
John Thorp
prediction and inference across scales of granularity
inference guides retroactive effects of arousal on memory
manipulating experimental variables to precisely examine how the structure of learning determines how that learning strenghtens or warps existing memories
Code
inference guides retroactive effects of arousal on memory
contextual stability as a continuous moderator of event segmentation
leveraging non-linear multilevel Bayesian models to uncover novel sources of variance across subject behavior with theoretical and clinical relevance
contextual stability as a continuous moderator of event segmentation
eeg markers of mind-wandering in the real-world classroom
exploring effects of theta/beta power of students wearing a mobile EEG headset during class
eeg markers of mind-wandering in the real-world classroom
quantifying bias in assessments of medical students
uncovering patterns of bias and making recommendations of how it can be reduced
quantifying bias in assessments of medical students