Population Transformer: Learning Population-level Representations of Neural Activity

Population Transformer: Learning Population-level Representations of Neural Activity

5 June 2024

Christopher Wang

Sabera Talukder

Vighnesh Subramaniam

Saraswati Soedarmadji

Boris Katz

Papers citing "Population Transformer: Learning Population-level Representations of Neural Activity"

4 / 4 papers shown

Title
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis Sabera Talukder Yisong Yue Georgia Gkioxari AI4TS 40 12 0 03 Jan 2025
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 35 1 0 19 May 2024
Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces Geeling Chau Yujin An Ahamed Raffey Iqbal Soon-Jo Chung Yisong Yue Sabera Talukder OOD 27 4 0 28 Feb 2024
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 41 198 0 28 Jan 2021