4 citations · 10 across the 10 of their papers we have counts for
6 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…
Integration of cognitive tasks into artificial general intelligence test for large models
Youzhi Qu, Chen Wei, Penghui Du +10
During the evolution of large models, performance evaluation is necessarily performed to assess their capabilities and ensure safety before practical application. However, current…
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 (…