Update README.md

README.md

@@ -15,11 +15,8 @@ The pretrained model of Brain Language Model (BrainLM) aims to achieve a general
 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 the prediction of clinical variables and future brain states. In zero-shot inference, the model identifies functional networks and generates interpretable latent representations of neural activity. Furthermore, we introduce a novel prompting technique, allowing BrainLM to function as an in silico simulator of brain activity responses to perturbations. BrainLM offers a novel framework for the analysis and understanding of large-scale brain activity data, serving as a “lens” through which new data can be more effectively interpreted.
 
 - **Developed by:** [van Dijk Lab](https://www.vandijklab.org/) at Yale University
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Model type:** ViTMAE
+- **License:** [![Preprint License: CC BY-NC-ND 4.0](https://img.shields.io/badge/License-CC_BY--NC--ND_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-nd/4.0/)
 
 ### Model Sources [optional]