BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data

28 January 2021

Demetres Kostas

Stephane Aroca-Ouellette

Frank Rudzicz

SSL

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Papers citing "BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data"

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Title
ALFEE: Adaptive Large Foundation Model for EEG Representation Wei Xiong Junming Lin Jiangtong Li Jie Li Changjun Jiang 39 0 0 07 May 2025
KnowEEG: Explainable Knowledge Driven EEG Classification A. Sahota Navid Mohammadi Foumani Raúl Santos-Rodríguez Z. Abdallah 24 0 0 01 May 2025
Respiratory Inhaler Sound Event Classification Using Self-Supervised Learning Davoud Shariat Panah Alessandro N Franciosi Cormac McCarthy Andrew Hines 26 0 0 15 Apr 2025
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework Cheol-Hui Lee Hakseung Kim Byung C. Yoon Dong-Joo Kim 46 0 0 18 Feb 2025
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification Younghoon Na Hyun Keun Ahn Hyun-Kyung Lee Yoongeol Lee Seung Hun Oh Hongkwon Kim Jeong-Gun Lee 45 0 0 13 Feb 2025
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection Yihe Wang Nan Huang Nadia Mammone Marco Cecchi Xiang Zhang 81 0 0 02 Feb 2025
How Redundant Is the Transformer Stack in Speech Representation Models? Teresa Dorszewski Albert Kjøller Jacobsen Lenka Tětková Lars Kai Hansen 107 0 0 20 Jan 2025
On Creating A Brain-To-Text Decoder Zenon Lamprou Yashar Moshfeghi 41 0 0 10 Jan 2025
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation Salar Abbaspourazad Anshuman Mishra Joseph D. Futoma Andrew C. Miller Ian Shapiro 95 0 0 15 Dec 2024
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning Toyotaro Suzumura H. Kanezashi Shotaro Akahori AI4MH 76 0 0 25 Nov 2024
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals Wei-Bang Jiang Yansen Wang Bao-Liang Lu Dongsheng Li 39 11 0 27 Aug 2024
Enhancing Representation Learning of EEG Data with Masked Autoencoders Yifei Zhou Sitong Liu 46 0 0 09 Aug 2024
The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning Dulhan Jayalath Gilad Landau Brendan Shillingford M. Woolrich Oiwi Parker Jones SSL 62 5 0 06 Jun 2024
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals Hui Zheng Haiteng Wang Wei-Bang Jiang Zhongtao Chen Li He Pei-Yang Lin Peng-Hu Wei Guo-Guang Zhao Yun-Zhe Liu 52 1 0 19 May 2024
Foundational GPT Model for MEG Richard Csaky M. Es Oiwi Parker Jones M. Woolrich 40 2 0 14 Apr 2024
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG Cheol-Hui Lee Hakseung Kim Hyun-jee Han Min-Kyung Jung Byung C. Yoon Dong-Joo Kim 37 5 0 10 Apr 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey Weining Weng Yang Gu Shuai Guo Yuan Ma Zhaohua Yang Yuchen Liu Yiqiang Chen 38 12 0 09 Jan 2024
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification Navid Mohammadi Foumani Chang Wei Tan Geoffrey I. Webb Hamid Rezatofighi Mahsa Salehi SSL AI4TS 33 5 0 07 Dec 2023
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning Aristotelis Ballas Vasileios Papapanagiotou Christos Diou 30 0 0 01 Dec 2023
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification Hui Cai Xiang Zhang Xiaofeng Liu AI4TS 33 0 0 13 Oct 2023
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning Rui Liu Yuanyuan Chen Anran Li Y. Ding Han Yu Cuntai Guan FedML 35 7 0 14 Aug 2023
BrainBERT: Self-supervised representation learning for intracranial recordings Christopher Wang Vighnesh Subramaniam A. Yaari Gabriel Kreiman Boris Katz Ignacio Cases Andrei Barbu MedIm SSL 27 31 0 28 Feb 2023
Decoding Neural Signals with Computational Models: A Systematic Review of Invasive BMI Rezwan Firuzi Hamed Ahmadyani Mohammad Foad Abdi Dana Naderi Jahanfar Hassan Ayub Bokani AI4CE 21 1 0 07 Nov 2022
MAEEG: Masked Auto-encoder for EEG Representation Learning H. Chien Hanlin Goh Christopher M. Sandino Joseph Y. Cheng 22 48 0 27 Oct 2022
Design and Implementation of EEG-Mechatronic System Interface for Computational Intelligence Cameron Aume S. Pal Subhas Mukhopadhyay 32 0 0 22 Apr 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 32 29 0 18 Mar 2022
Overcoming the Domain Gap in Neural Action Representations Semih Günel Florian Aymanns S. Honari Pavan Ramdya Pascal Fua 31 3 0 02 Dec 2021
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis Siyi Tang Jared A. Dunnmon Khaled Kamal Saab Xuan Zhang Qianying Huang Florian Dubost D. Rubin Christopher Lee-Messer 33 96 0 16 Apr 2021