Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
## Population Transformer
|
| 2 |
+
|
| 3 |
+
Weights for pretrained Population Transformer ([paper](https://arxiv.org/abs/2406.03044), [website](https://glchau.github.io/population-transformer/), [code](https://github.com/czlwang/PopulationTransformer)) using pretrained BrainBERT stft model ([paper](https://arxiv.org/abs/2302.14367), [code](https://github.com/czlwang/BrainBERT)).
|
| 4 |
+
|
| 5 |
+
Trained on Brain TreeBank ([paper](https://arxiv.org/pdf/2411.08343), [dataset](https://braintreebank.dev/))
|
| 6 |
+
|
| 7 |
+
### Cite:
|
| 8 |
+
```
|
| 9 |
+
@misc{chau2024populationtransformer,
|
| 10 |
+
title={Population Transformer: Learning Population-level Representations of Neural Activity},
|
| 11 |
+
author={Geeling Chau and Christopher Wang and Sabera Talukder and Vighnesh Subramaniam and Saraswati Soedarmadji and Yisong Yue and Boris Katz and Andrei Barbu},
|
| 12 |
+
year={2024},
|
| 13 |
+
eprint={2406.03044},
|
| 14 |
+
archivePrefix={arXiv},
|
| 15 |
+
primaryClass={cs.LG},
|
| 16 |
+
url={https://arxiv.org/abs/2406.03044},
|
| 17 |
+
}
|
| 18 |
+
```
|