A5016087392- Neurobiology of Language and Bilingualism
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Action Observation and Synchronization
- Neural and Behavioral Psychology Studies
- Face Recognition and Perception
- Reading and Literacy Development
- Advanced Causal Inference Techniques
- Topic Modeling
- Language, Metaphor, and Cognition
- Neural dynamics and brain function
- Natural Language Processing Techniques
- Epilepsy research and treatment
- Mobile Ad Hoc Networks
- Health Systems, Economic Evaluations, Quality of Life
- Advanced Computational Techniques and Applications
- Service-Oriented Architecture and Web Services
- Dementia and Cognitive Impairment Research
- Color Science and Applications
- Gaze Tracking and Assistive Technology
- Statistical Methods and Bayesian Inference
- Fungal Biology and Applications
- Distributed and Parallel Computing Systems
- Speech and dialogue systems
- Healthcare Policy and Management
Peking Union Medical College Hospital
2021-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2021-2025
Ningbo Putian Information Industry (China)
2025
University of Chinese Academy of Sciences
2015-2025
Institute of Psychology, Chinese Academy of Sciences
2016-2025
China Special Equipment Inspection and Research Institute
2025
First Affiliated Hospital of Henan University
2024
Guizhou Normal University
2020-2024
Children's Hospital of Zhejiang University
2024
Newcastle University
2012-2024
Interictal epileptiform discharge (IED) and its spatial distribution are critical for the diagnosis, classification, treatment of epilepsy. Existing publicly available datasets suffer from limitations such as insufficient data amount lack information. In this paper, we present a comprehensive EEG dataset containing annotated interictal epileptic 84 patients, each contributing 20 minutes continuous raw recordings, totaling 28 hours. IEDs states consciousness (wake/sleep) were meticulously by...
Neuroimaging studies have consistently indicated that semantic processing involves a brain network consisting of multimodal cortical regions distributed in the frontal, parietal, and temporal lobes. However, little is known about how information organized processed within network. Some recent sensory–motor modulates activation this Other responds more to social than other information. Using fMRI, we collectively investigated activations evoked by manipulating sociality imageability verbs...
Evidence from psychology and cognitive neuroscience indicates that the human brain's semantic system contains several specific subsystems, each representing a particular dimension of information. Word ratings on these different dimensions can help investigate behavioral neural impacts language processes build computational representations meaning according to space system. Existing rating databases provide for hundreds thousands words, which hardly support comprehensive analysis natural...
We conducted a preliminary study to examine whether Chinese readers' spontaneous word segmentation processing is consistent with the national standard rules of based on Contemporary language specification for information (CCLWSSIP). Participants were asked segment sentences into individual words according their prior knowledge words. The results showed that readers did not follow CCLWSSIP, and was influenced by syntactic categories consecutive In many cases, participants consider auxiliary...
The organizational principles of semantic memory in the human brain are still controversial. Although studies have shown that system contains hub regions bind information from different sensorimotoric modalities to form concepts, it is unknown whether there other than anterior temporal lobe (ATL). Meanwhile, previous rarely used network measurements explore hubs or correlated indexes with performance, although most direct supportive evidence should come perspective. To fill this gap, we...
Given that extensive cerebral regions are co-atrophic in semantic dementia (SD), it is not yet known which critical (SD-semantic-critical regions) really responsible for the deficits of SD. To identify SD-semantic-critical regions, we explored relationship between degree atrophy whole brain and severity 19 individuals with We found gray matter volumes two [left fusiform gyrus (lFFG) left parahippocampal (lPHG)] significantly correlated scores patients Importantly, effects lFFG remained...
Abstract Eye movements are one of the most fundamental behaviors during reading. A growing number Chinese reading studies have used eye-tracking techniques in last two decades. The accumulated data provide a rich resource that can reflect complex cognitive mechanisms underlying This article reports database eye-movement measures words sentence contains nine 8,551 obtained from 1,718 participants across 57 experiments. All were collected same experimental environment and homogenous...
Constructing task-state large-scale brain networks can enhance our understanding of the organization functions during cognitive tasks. The primary goal network partitioning is to cluster functionally homogeneous regions. However, a region often serves multiple functions, complicating process. This study proposes novel clustering method for based on specific selecting semantic representation as target function evaluate validity proposed method. Specifically, we analyzed functional magnetic...
ABSTRACT The optimization of diverse industrial edge computing tasks presents a significant challenge due to the dynamic and heterogeneous nature operational demands. While deep reinforcement learning (DRL) has shown promise, task‐specific DRL models are often required in complex networks, such as real‐time anomaly detection latency‐sensitive decision‐making, increasing computational overhead. This leads large overheads, unstable performance, increased energy consumption. Such cost become...
Gas polyethylene (PE) pipes have an become essential component of the urban gas pipeline network due to their long service life and corrosion resistance. To prevent safety incidents, regular monitoring pipelines is crucial. Traditional inspection methods face significant challenges, including low efficiency, high costs, limited applicability. Machine vision-based emerged as a key solution these issues. Despite this, method also encounters problem scarcity defect samples uneven data...
Summary Omission of relevant covariates can lead to bias when estimating treatment or exposure effects from survival data in both randomized controlled trials and observational studies. This paper presents a general approach assessing are omitted the Cox model. The proposed method is applicable non-randomized We distinguish between three possible sources bias: omission balanced covariate, censoring unmeasured confounding. Asymptotic formulae for determining derived large sample properties...
The neural representation of concepts is a focus many cognitive neuroscience studies. Prior works studying concept with imaging data have been largely limited to concrete concepts. use relatively small and constrained sets stimuli leaves open the question whether findings can generalize other We share an fMRI dataset in which 11 participants thought 672 individual concepts, including both abstract were probed using words paired images selected cover wide range semantic categories....
Observational studies provide a rich source of information for assessing effectiveness treatment interventions in many situations where it is not ethical or practical to perform randomized controlled trials. However, such are prone bias from hidden (unmeasured) confounding. A promising approach identifying and reducing the impact unmeasured confounding prior event rate ratio (PERR) adjustment, quasi-experimental analytic method proposed context electronic medical record database studies. In...