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| | license: gpl-3.0 |
| | library_name: manas-1 |
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| | # 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! |
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| | ## Benchmarking Results: |
| | More benchmark results will be added soon. |
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| | #### 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 | <u>0.712 ± 0.01</u> | **0.723 ± 0.01** | 0.707 ± 0.02 | 0.709 | |
| | | Cho2017 | 0.526 ± 0.09 | <u>0.533 ± 0.02</u> | 0.504 ± 0.01 | **0.651 ± 0** | |
| | | BCI-IV-2a | 0.434 ± 0.10 | **0.489 ± 0.03** | 0.303 ± 0.04 | <u>0.461 ± 0.00</u> | |
| | | Faller2012 | **0.566 ± 0.03** | <u>0.560 ± 0.01</u> | 0.542 ± 0.01 | 0.513 | |
| | | PhysioNet | 0.348 ± 0.08 | <u>0.368 ± 0.01</u> | 0.284 ± 0.01 | **0.375 ± 0.00** | |
| | | Weibo2014 | **0.335 ± 0.04** | <u>0.321 ± 0.01</u> | 0.254 ± 0.02 | 0.303 | |
| | | Zhou2016 | 0.818 ± 0.16 | **0.865 ± 0.01** | 0.687 ± 0.19 | <u>0.834</u> | |
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