All Competitors

Every biological foundation model, evaluated and ranked by the bio.rodeo team

Showing 1–5 of 5 filtered models

  • NeurIPT

    1111—
    Xiamen University Malaysia +4 othersOctober 18, 2025brain_computer_interfaceseegeeg_decoding+8

    EEG foundation model for brain-computer interfaces, using amplitude-aware masked pretraining and a progressive mixture-of-experts transformer across diverse electrode setups.

    Biosignals
    11Openness

  • CBraMod

    322164—
    Zhejiang UniversityDecember 10, 2024brain_computer_interfaceeegeeg_decoding+4

    A criss-cross transformer EEG foundation model with parallel spatial and temporal attention, pretrained by masked reconstruction and reaching SOTA across 10 BCI tasks.

    Biosignals
    78Openness

  • BELT-2

    —12—
    University of Technology SydneyAugust 28, 2024brain_to_textconformercontrastive_learning+6

    EEG-to-language multi-task foundation model that pairs a Q-Conformer encoder with frozen LLMs to decode coherent sentences from non-invasive brain signals.

    BiosignalsLanguage model
    30Openness

  • NeuroLM

    15693—
    Shanghai Jiao Tong University +1 otherAugust 27, 2024eegeeg_decodingfoundation_model+7

    A multi-task EEG foundation model that treats brain signals as a foreign language, pairing a text-aligned neural tokenizer with a GPT-2 backbone.

    BiosignalsLanguage model
    66Openness

  • LaBraM

    625344—
    Shanghai Jiao Tong UniversityMay 29, 2024abnormal_detectionbrain_computer_interfaceeeg+6

    An EEG foundation model that learns generic brain-signal representations via a vector-quantized neural tokenizer and masked-transformer pretraining on ~2,500 hours of data.

    Biosignals
    72Openness