Th.2.6.1
Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation
Sicheng Dai, Institute of Automation, Chinese Academy of Sciences; Kai Chen, Hongwang Xiao, Beijing Academy of Artificial Intelligence; Shan Yu, Institute of Automation, Chinese Academy of Sciences; Qiwei Ye, Beijing Academy of Artificial Intelligence
Session:
Th.2.6: Neural Signal Processing IV Oral
Track:
Neural and Rehabilitation Engineering
Location:
Room 801B
Presentation Time:
Thursday, 30 July, 10:15 - 10:30
Session Co-Chairs:
Moo Chung and Jhunlyn Lorenzo
Presentation
Discussion
Resources
No resources available.
Session Th.2.6
Th.2.6.1: Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation
Sicheng Dai, Institute of Automation, Chinese Academy of Sciences; Kai Chen, Hongwang Xiao, Beijing Academy of Artificial Intelligence; Shan Yu, Institute of Automation, Chinese Academy of Sciences; Qiwei Ye, Beijing Academy of Artificial Intelligence
Th.2.6.2: INEUROTUNE: INTERPRETABLE NEURAL DATA SELECTION FOR UNSUPERVISED DECODER FINE-TUNING
Aleksandra Joanna Wisniewska, Korea University; Xiaoyong Ni, Mahsa Shoaran, EPFL
Th.2.6.3: Real-time Sub-cycle Oscillatory Beta Burst Detection
Anirudh Wodeyar, Joël Karel, Ralf Peeters, Maastricht University
Th.2.6.4: CROSS-SESSION DECODING OF NEURAL SPIKING DATA VIA TASK-CONDITIONED LATENT ALIGNMENT
Canyang Zhao, Bolin Peng, Institute of Automation, Chinese Academy of Sciences; J. Patrick Mayo, University of Pittsburgh; Ce Ju, Inria, CEA, Université Paris-Saclay, Palaiseau, France; Bing Liu, Institute of Automation, Chinese Academy of Sciences
Th.2.6.5: Indicator-invariant Domain Generalization for Spike Inference based on Calcium Imaging
SHIBIN WU, CHUNG TIN, City University of Hong Kong
Th.2.6.6: PHYSICS CONSTRAINTS AND EXPERT REGULARIZATION FOR UNSUPERVISED STIMULATION ARTIFACT REMOVAL
Thai Ha Bui, Delft University of Technology; Xiaoyong Ni, Mahsa Shoaran, Swiss Federal Institute of Technology in Lausanne (EPFL)
Resources
No resources available.