Tutorial on using Deep Learning Models to run psychology experiments


This talk was catered to students who participated in the undergraduate summer research program PREP offered by the department of psychology at University of Wisconsin - Madison. As part of the data science workshop, I talked about how students could use Convolutional Neural Networks to run psychophysics experiments in their research. I also talked about how Large Language Models (like GPT-3) could be used to run feature listing tasks and triplet matching tasks in order to compare conceptual representations from humans and large language models.

Tutorial PREP data science workshop