A5024224340- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Topic Modeling
- EEG and Brain-Computer Interfaces
- Natural Language Processing Techniques
- Functional Brain Connectivity Studies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Mental Health Research Topics
- Emotion and Mood Recognition
- Stress Responses and Cortisol
- Biomedical Text Mining and Ontologies
- Machine Fault Diagnosis Techniques
- Olfactory and Sensory Function Studies
- Machine Learning in Bioinformatics
- Gender Studies in Language
- Industrial Vision Systems and Defect Detection
- Heart Rate Variability and Autonomic Control
- Cultural Differences and Values
- Linguistics, Language Diversity, and Identity
- Perfectionism, Procrastination, Anxiety Studies
- Neuroscience and Neuropharmacology Research
- Menstrual Health and Disorders
- Media, Gender, and Advertising
- Child and Animal Learning Development
University of Malaya
2024
Communication University of China
2019-2023
Wuhan University of Technology
2023
Beijing Normal University
2016-2018
Nanjing University
2016-2018
The present study investigated gender differences in both emotional experience and expressivity. Heart rate (HR) was recorded as an indicator of while the participants watched 16 video clips that induced eight types emotion (sadness, anger, horror, disgust, neutrality, amusement, surprise, pleasure). We also asked to report valence, arousal, motivation indicators Overall, results revealed When watching videos pleasure, men showed larger decreases HR, whereas women reported higher levels...
Researchers interested in emotions have endeavored to elicit emotional responses the laboratory and determined that films were one of most effective ways emotions. The present study presented development a new standardized film database for Asian culture. There eight kinds emotion: fear, disgust, anger, sadness, neutrality, surprise, amusement, pleasure. Each kind included clips, total 64 viewed by 110 participants. We analyzed both subjective experience (valence, arousal, motivation,...
Abstract A method based on sparse auto-encoder (SAE) in deep learning (DL) for roller bearings remain useful life (RUL) prediction is presented this paper. Firstly, the vibration signals were calculated by different time and frequency domain factors, which reflect information well. Therefore, features regarded as input of SAE, then SAE model was used to extract through several hidden layers sigmoid function selected output calculate value. Finally, compared with other methods, such support...
Accurately predicting whether a short video will be liked by viewers is topic of interest to media researchers. This study used an electroencephalogram (EEG) record neural activity in 109 participants as they watched videos (16 clips per person) see which signals reflected viewers' preferences. The results showed that, compared with the disliked, individuals would experience positive emotions [indexed higher theta power, lower (beta - theta)/(beta + theta) score], more relaxed states...
Abstract Neuroticism has been found to specifically modulate amygdala activations during differential processing of valence and motivation while other brain networks yet are unexplored for associated effects. The main purpose this study was investigate whether neural mechanisms or prone neuroticism in the salience network (SN), a that is anchored anterior cingulate cortex (ACC) insula. This used functional magnetic resonance imaging (fMRI) an approach/avoid emotional pictures task modulated...
Amygdala activity was previously found to correlate with neuroticism as an effect of valence, but so far few studies have focused on motivational context. The network subserving altered amygdala has not yet been investigated although some showed strong effective connections prefrontal cortex (PFC). goal this study test the modulatory role functional connectivity (FC) between and other brain regions, especially PFC, during emotion processing from direction. We applied emotional picture...
Emotion influences our daily life to a large extent, especially for those who are undergoing bad mood and have high risk emotional disorders. It is hard recognize them, but very important so that we can provide intervention before them getting worse. This study used EEG signals has disorders instead of emotion type only. The proposed machine learning method combined the features multiple cortex areas frequency bands find risky group through kernel SVM classifier. achieved accuracy 95.20%,...
Mammalian brains respond to new concepts via a type of neural coding termed "concept coding." During concept coding, the dentate gyrus (DG) plays vital role in pattern separation and integration because it is brain region with substantial neurogenesis adult mammals. Although properties have been extensively studied by experimental work, modeling process guide both further studies applications such as natural language processing scarce. To model brain-like we built spiking network inspired...
Abstract Memory is a dynamic process that based on and can be altered by experiences. Integrating memories of multiple experiences (memory integration) the basis flexible complex decision‐making. However, mechanism memory integration in neural networks brain remains poorly understood. In this study, we built recurrent spiking network model investigated before decision made (retrospective at circuit level. Our simulations suggest retrospective accompanies reconfiguration cell assemblies....
This study examines the gendered language and visual representations in advertisements for Clinique skincare products targeted at men women. Using a qualitative approach grounded Mediated Discourse Analysis, research analyzes these advertisements' linguistic strategies. The findings reveal distinct differences use elements: male-targeted typically fewer words straightforward language, focusing on product's practical aspects, while female-targeted employ more descriptive emotive emphasizing...