9 citations · 31 across the 19 of their papers we have counts for
5 papers · 1 filter
RealMind: Advancing Visual Decoding and Language Interaction via EEG Signals
Dongyang Li, Haoyang Qin, Mingyang Wu +4
Decoding visual stimuli from neural recordings is a critical challenge in the development of brain-computer interfaces (BCIs). Although recent EEG-based decoding approaches have ma…
CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation
Chen Wei, Jiachen Zou, Dietmar Heinke +1
Humans interpret complex visual stimuli using abstract concepts that facilitate decision-making tasks such as food selection and risk avoidance. Similarity judgment tasks are effec…
CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations
Chen Wei, Jiachen Zou, Dietmar Heinke +1
A central question for cognitive science is to understand how humans process visual objects, i.e, to uncover human low-dimensional concept representation space from high-dimensiona…
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
Dongyang Li, Chen Wei, Shiying Li +3
How to decode human vision through neural signals has attracted a long-standing interest in neuroscience and machine learning. Modern contrastive learning and generative models imp…
Advancing EEG/MEG Source Imaging with Geometric-Informed Basis Functions
Song Wang, Chen Wei, Kexin Lou +2
Electroencephalography (EEG) and Magnetoencephalography (MEG) are pivotal in understanding brain activity but are limited by their poor spatial resolution. EEG/MEG source imaging (…