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Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience
Feb. 23, 2024, 5:42 a.m. | Xinke Shen, Lingyi Tao, Xuyang Chen, Sen Song, Quanying Liu, Dan Zhang
cs.LG updates on arXiv.org arxiv.org
Abstract: Neural representations induced by naturalistic stimuli offer insights into how humans respond to peripheral stimuli in daily life. The key to understanding the general neural mechanisms underlying naturalistic stimuli processing involves aligning neural activities across individuals and extracting inter-subject shared neural representations. Targeting the Electroencephalogram (EEG) technique, known for its rich spatial and temporal information, this study presents a general framework for Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals (CL-SSTER). Harnessing the representational …
abstract arxiv cs.lg daily eeg eess.sp general humans insights key life neuroscience processing q-bio.nc targeting the key type understanding
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