← Search

Rahul Madhav Dhodapkar

2 accepted papers

2024

BrainLM: A foundation model for brain activity recordings

ICLR 2024poster

We introduce the Brain Language Model (BrainLM), a foundation model for brain activity dynamics trained on 6,700 hours of fMRI recordings. Utilizing self-supervised masked-prediction training, BrainLM demonstrates proficiency in both fine-tuning and zero-shot inference tasks. Fine-tuning allows for…

Cited by 34SourcePDFScholar
2024

Cell2Sentence: Teaching Large Language Models the Language of Biology

ICML 2024poster

We introduce Cell2Sentence (C2S), a novel method to directly adapt large language models to a biological context, specifically single-cell transcriptomics. By transforming gene expression data into "cell sentences," C2S bridges the gap between natural language processing and biology. We demonstrate…

Cited by 19SourcePDFScholar