4 citations · 10 across the 10 of their papers we have counts for
12 papers
MindPilot: Closed-loop Visual Stimulation Optimization for Brain Modulation with EEG-guided Diffusion
Dongyang Li, Kunpeng Xie, Mingyang Wu +5
Whereas most brain-computer interface research has focused on decoding neural signals into behavior or intent, the reverse challenge-using controlled stimuli to steer brain activit…
Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering Human Perceptual Variability on Facial Expressions
Haotian Deng, Chi Zhang, Chen Wei +1
A fundamental challenge in affective cognitive science is to develop models that accurately capture the relationship between external emotional stimuli and human internal experienc…
Uncovering the EEG Temporal Representation of Low-dimensional Object Properties
Jiahua Tang, Song Wang, Jiachen Zou +2
Understanding how the human brain encodes and processes external visual stimuli has been a fundamental challenge in neuroscience. With advancements in artificial intelligence, soph…
Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison
Yuang Cao, Jiachen Zou, Chen Wei +1
Human memory exhibits significant vulnerability in cognitive tasks and daily life. Comparisons between visual working memory and new perceptual input (e.g., during cognitive tasks)…
BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings
Dongyang Li, Haoyang Qin, Mingyang Wu +2
Understanding how the brain represents visual information is a fundamental challenge in neuroscience and artificial intelligence. While AI-driven decoding of neural data has provid…
Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability
Chen Wei, Chi Zhang, Jiachen Zou +3
Human decision-making in cognitive tasks and daily life exhibits considerable variability, shaped by factors such as task difficulty, individual preferences, and personal experienc…
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 (…