At Psychoinformatics Lab, I have contributing to the development of Neuroscout, an end-to-end platform for the analysis of naturalistic fMRI data. You can read more about Neuroscout in our eLife paper: https://elifesciences.org/articles/79277.
I am focusing on expanding Neuroscout’s annotation set by implementing feature extraction pipelines that use pretrained deep learning models (e.g., from HuggingFace’s transformers and TensorflowHub) in pliers.
I contributed to validating the platform and showing its potential to increase the generalizability of neuroimaging findings through a series of large-scale meta-analyses presented in the paper, and available as a Jupyter book here.