RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI. - Grant Wallace; Stephen Polcyn; Paula P. Brooks; Anne C. Mennen; Ke Zhao; Paul S. Scotti; Sebastian Michelmann; Kai Li 001; Nicholas B. Turk-Browne; Jonathan D. Cohen 003; Kenneth A. Norman (NeuroImage, 2022)

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors. - Paul S. Scotti; Atmadeep Banerjee; Jimmie Goode; Stepan Shabalin; Alex Nguyen; Ethan Cohen; Aidan J. Dempster; Nathalie Verlinde; Elad Yundler; David Weisberg; Kenneth A. Norman; Tanishq Mathew Abraham (NeurIPS, 2023)

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data. - Paul S. Scotti; Mihir Tripathy; Cesar Torrico 002; Reese Kneeland; Tong Chen; Ashutosh Narang; Charan Santhirasegaran; Jonathan Xu; Thomas Naselaris; Kenneth A. Norman; Tanishq Mathew Abraham (ICML, 2024)

Progress Towards Decoding Visual Imagery via fNIRS. - Michel Adamic; Wellington Avelino; Anna M. Brandenberger; Bryan Chiang; Hunter Davis; Stephen Fay; Andrew Gregory; Aayush Gupta; Raphael Hotter; Grace Jiang; Fiona Leng; Stephen Polcyn; et al. (CoRR, 2024)

NSD-Imagery: A Benchmark Dataset for Extending fMRI Vision Decoding Methods to Mental Imagery. - Reese Kneeland; Paul S. Scotti; Ghislain St-Yves; Jesse Breedlove; Kendrick N. Kay; Thomas Naselaris (CVPR, 2025)

Predicting Brain Responses To Natural Movies With Multimodal LLMs. - Cesar Kadir Torrico Villanueva; Jiaxin Cindy Tu; Mihir Tripathy; Connor Lane; Rishab Iyer; Paul S. Scotti (CoRR, 2025)