fMRI

3 items

RESEARCHarXiv CS.CL·4/20/2026

Brain Score Tracks Shared Properties of Languages: Evidence from Many Natural Languages and Structured Sequences

This research investigates the similarity between language models' processing and human language processing using the Brain Score framework. Findings suggest LMs trained on diverse natural languages and even structured data (human genome, Python) show similar Brain Score performance, indicating the metric captures the ability to extract common structure.

language models fMRI Neuroscience AI Research

RESEARCHarXiv CS.CL·20d ago

Fine-tuning language encoding models on slow fMRI improves prediction for fast ECoG

Neuroscientists propose using non-invasive fMRI data to enhance ECoG encoding models, addressing data limitations. Language representations fine-tuned on fMRI significantly improved ECoG prediction, even with fMRI's lower temporal resolution.

language models brain-mapping fMRI ECoG

RESEARCHarXiv CS.LG·8d ago

Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification

The paper introduces Dual-Spectral Flow Matching (DSFM), a novel fMRI generative framework that cascades dual frequency representation of BOLD signals with spectral flow matching. This method aims to synthesize high-fidelity fMRI time series to overcome limitations in data availability for brain disorder identification, by replicating complex spatiotemporal dynamics.

fMRI brain disorders generative models wavelet transform