MANAS-1
NeuroDX announces India's first Brain Language Model, MANAS-1. Designed as a Foundation Model for EEGs, MANAS-1 demonstrates SOTA performance across various tasks in BCI and clinical applications.
More details coming soon!
Benchmarking Results:
More benchmark results will be added soon.
EEG-Bench Results
These metrics were computed using the EEG-Bench codebase. MANAS-1 and REVE (reve-base) were finetuned with a flatten-MLP setup. Finetuning setups for LaBraM and NeuroGPT were used as present in the EEG-Bench codebase.
| Dataset | REVE | MANAS-1 | LaBraM | NeuroGPT |
|---|
| BCI-IV-2b | 0.712 ± 0.01 | 0.723 ± 0.01 | 0.707 ± 0.02 | 0.709 |
| Cho2017 | 0.526 ± 0.09 | 0.533 ± 0.02 | 0.504 ± 0.01 | 0.651 ± 0 |
| BCI-IV-2a | 0.434 ± 0.10 | 0.489 ± 0.03 | 0.303 ± 0.04 | 0.461 ± 0.00 |
| Faller2012 | 0.566 ± 0.03 | 0.560 ± 0.01 | 0.542 ± 0.01 | 0.513 |
| PhysioNet | 0.348 ± 0.08 | 0.368 ± 0.01 | 0.284 ± 0.01 | 0.375 ± 0.00 |
| Weibo2014 | 0.335 ± 0.04 | 0.321 ± 0.01 | 0.254 ± 0.02 | 0.303 |
| Zhou2016 | 0.818 ± 0.16 | 0.865 ± 0.01 | 0.687 ± 0.19 | 0.834 |
