Zitong Lu

Img2EEG: A Scalable and Interpretable Encoding Framework for Simulating Human EEG Responses to Visual Inputs

Zitong Lu, Julie D. Golomb

Understanding how visual information processing unfolds over time requires models that not only predict neural responses but also expose the representations that support them and generalize beyond sampled stimulus spaces. Here we introduce Img2EEG, a participant-specific image-to-EEG encoding framework that integrates hierarchical …

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AVMoments-EEG: A Large-Scale EEG Datasets of Naturalistic Audiovisual Event Perception

Shuning Tang, Zitong Lu, Leiting Li, Dongwei Li

AVMoments-EEG is a large-scale, high-temporal-resolution human electroencephalography (EEG) dataset designed to characterize neural responses to naturalistic audiovisual events. The dataset comprises data from 10 healthy adult participants who freely viewed three-second naturalistic audiovisual clips while 64-channel EEG was recorded. Each participant completed …

AVMoments-EEG: A Large-Scale EEG Datasets of Naturalistic Audiovisual Event Perception

Shuning Tang, Zitong Lu, Leiting Li, Dongwei Li

AVMoments-EEG is a large-scale, high-temporal-resolution human electroencephalography (EEG) dataset designed to characterize neural responses to naturalistic audiovisual events. The dataset comprises data from 10 healthy adult participants who freely viewed three-second naturalistic audiovisual clips while 64-channel EEG was recorded. Each participant completed …

A sustainable functional food ingredient from Saussurea involucrata cell culture alleviates atopic dermatitis-like inflammation via arachidonic acid metabolic remodeling

Xinwei Yan, Yin Chen, Ping Yu, Zitong Lu et autres

Nutritional interventions may complement established approaches for managing atopic dermatitis (AD). Here, we evaluated Saussurea involucrata cell culture (SIC), a sustainable functional-food material, in a DNCB-induced mouse model of AD-like inflammation. Chemical profiling established the phytochemical composition of SIC, and both topical …

cn (code pays fourni par la source)

Shared and distinct temporal representations of Chinese words across imagined, silent, and overt speech

Lu Nie, Zitong Lu

Abstract How internal speech relates to overt speech remains a fundamental question in speech production: do different forms of speech preserve a common neural representation of the intended word, or does that representation change as speech becomes articulated? We used time-resolved electroencephalography …

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Distinct mitochondrial phenotypes align with visual and semantic representations across human cortex

Zitong Lu, Yuxin Wang

Abstract Cortical regions differ in the information they represent, but whether this functional specialization is accompanied by corresponding differences in cellular and molecular organization remains unknown. Here, we combined precision 7T fMRI, image-to-brain encoding models, a recently developed human mitochondrial atlas, and …

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The influence of visual landmarks on spatiotopic localization and object-location binding

Zitong Lu, Julie D. Golomb

Despite receiving visual inputs based on retinotopic (gaze-centered) coordinates, we are able to perceive the spatiotopic (world-centered) locations of objects. Intriguingly, some studies have reported strong evidence that object-location binding occurs in retinotopic coordinates, but other recent studies have explored whether more …

Do VLMs Align Better with Humans than LLMs during Natural Reading?

Jinzhou Wu, Zhengwu Ma, Jixing Li, Baoping Tang et autres

Large language models have become increasingly useful computational models of human language processing, but it remains open whether vision-language learning makes text representations more human-like during natural reading. We address this question by comparing matched LLM and vision-language model pairs under strictly …

Do VLMs Align Better with Humans than LLMs during Natural Reading?

Jinzhou Wu, Zhengwu Ma, Jixing Li, Baoping Tang et autres

Large language models have become increasingly useful computational models of human language processing, but it remains open whether vision-language learning makes text representations more human-like during natural reading. We address this question by comparing matched LLM and vision-language model pairs under strictly …

Contralateral delay activity as a marker of visual working memory capacity: A multi-site registered replication

Dawid Strzelczyk, Peter E. Clayson, Heida Maria Sigurdardottir, Faisal Mushtaq et autres

The contralateral delay activity (CDA) is a widely used electrophysiological marker of visual working memory (VWM), yet recent work has questioned whether typical sample sizes in CDA studies are sufficient to robustly detect set size effects and brain-behavior correlations. As part of …

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Face-like holistic processing in non-face stimuli

Yuxuan Zeng, Zitong Lu, Ren E Hentz, David E. Osher

Holistic processing of visual stimuli has long been regarded as unique to faces, or otherwise extended to other object categories given sufficient expertise. We designed novel abstract stimuli that are recognizable strictly by configural information, and matched control stimuli that require the …

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Toward general‐purpose foundation models for electroencephalography: A unified data registry

Shengle Shi, Yinglu Song, Yue Wang, Jiaqing Xiao et autres

Abstract Electroencephalography (EEG) is widely used in cognitive neuroscience, clinical diagnosis, and brain–computer interfaces (BCIs). Recent work has begun to explore large‐scale EEG pretraining for transferable representation learning, which requires diverse and well‐organized EEG data across tasks and populations. Currently, public EEG …

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