4 citations · 7 across the 5 of their papers we have counts for
6 papers
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)…
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…
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…