Dr. Paul S. Scotti

Head of NeuroAI at Stability AI (MedARC)
Research scientist at Princeton Neuroscience Institute
scottibrain@gmail.com

Neuroimaging & AI Lab Curriculum vitae

Neuroscience Educational Tools:

NeuroAI Reading Group
EduCortex (Brain visualizer)
OnNeuro (Lecture repository)
Inverted Encoding (Python package)
fMRI Playground (Interactive textbook)

CURATED WORK

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
Paul S. Scotti, ... Thomas Naselaris, Kenneth A. Norman, Tanishq Mathew Abraham
ICML

SOTA in reconstructing seen images from fMRI brain activity, achieved via shared-subject modeling and fine-tuning SDXL.

AI Alibis: Multi-Agent LLM Murder Mystery
Paul S. Scotti & Will Beddow
Interactive website

Violation & principles refinement can address pink elephant problem in large language models, illustrated via short interactive murder mystery game built with React.

Reconstructing the Mind’s Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
Paul S. Scotti, Atmadeep Banerjee, ... Kenneth A. Norman, Tanishq Mathew Abraham
NeurIPS (spotlight)

Retrieval and reconstruction of seen images from fMRI brain activity using contrastive learning and diffusion modeling.

EduCortex: browser-based 3D brain visualization of fMRI meta-analysis maps
Paul S. Scotti, Arman Kulkarni, Matan Mazor, Eduard Klapwijk, Tal Yarkoni, & Alexander Huth
Interactive website Journal of Open Source Education

Browser visualization tool. User can visualize anatomical areas of the brain and use our meta-analysis interface to overlay functional specializations.

fMRI Playground: Simple summaries & simulations of neuroimaging methods
Paul S. Scotti, Jiageng Chen, Xiaoli Chen, & Julie D. Golomb
Interactive website

Interactive textbook on computational neuroimaging methods using flowcharts, high-level method summaries, and practical Python examples using simulated data.

An enhanced inverted encoding model for neural reconstructions
Paul S. Scotti, Jiageng Chen, & Julie D. Golomb
bioRxiv PyPI

Python package for inverted encoding models to improve flexibility and interpretability of stimulus reconstructions.

Visual working memory items drift apart due to active, not passive, maintenance
Paul S. Scotti, Yoolim Hong, Andrew B. Leber, & Julie D. Golomb
Journal of Experimental Psychology: General

We show how memories interact with each other to sometimes unconscious systematic repulsion biases.

Attention scales according to inferred real-world object size
Andrew J. Collegio, Joseph C. Nah, Paul S. Scotti, & Sarah Shomstein
Nature Human Behavior

We show it takes longer for attention to spread across a 10-inch picture of a car compared to a 10-inch picture of an eraser.