A5103129403- Neural dynamics and brain function
- Cell Image Analysis Techniques
- Face Recognition and Perception
- Visual Attention and Saliency Detection
- Image Processing Techniques and Applications
- Functional Brain Connectivity Studies
- Visual perception and processing mechanisms
- Neuroscience and Music Perception
- Aluminum Alloys Composites Properties
- Aluminum Alloy Microstructure Properties
- High-Temperature Coating Behaviors
- Epilepsy research and treatment
- Silicone and Siloxane Chemistry
- Neural Networks and Applications
- Microstructure and mechanical properties
- Advanced Image Processing Techniques
- Advanced ceramic materials synthesis
- Olfactory and Sensory Function Studies
- Neuroscience and Neuropharmacology Research
- Multisensory perception and integration
- Advanced Memory and Neural Computing
- Metal and Thin Film Mechanics
- EEG and Brain-Computer Interfaces
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
University of Electronic Science and Technology of China
2020-2024
Chongqing University
2023
Constructing computational decoding models to account for the cortical representation of semantic information plays a crucial role in understanding visual perception. The human system processes interactive relationships among different objects when perceiving contents natural visions. However, existing commonly regard categories as completely separate and independent visually semantically rarely consider from prior information. In this work, novel graph learning model was proposed decode...
Abstract Aberrant affective neural processing and negative emotional bias are trait‐marks of major depression disorders (MDDs). However, most research on biased perception in has only focused unimodal experimental stimuli, the basis potentially multimodal inputs remains unclear. Here, we addressed this issue by implementing an audiovisual task during functional MRI scanning sessions with 37 patients MDD gender‐, age‐ education‐matched healthy controls. Participants were asked to distinguish...
Abstract Visual perceptual decoding is one of the important and challenging topics in cognitive neuroscience. Building a mapping model between visual response signals contents key point decoding. Most previous studies used peak to decode object categories. However, brain activities measured by functional magnetic resonance imaging are dynamic process with time dependence, so cannot fully represent whole process, which may affect performance Here, we propose based on long short‐term memory...
Recent functional magnetic resonance imaging (fMRI) studies have made significant progress in reconstructing perceived visual content, which advanced our understanding of the mechanism. However, dynamic natural vision remains a challenge because limitation temporal resolution fMRI. Here, we developed novel fMRI-conditional video generative adversarial network (f-CVGAN) to reconstruct rapid stimuli from evoked fMRI responses. In this model, employed generator produce spatiotemporal...
Abstract Objective. Visual perception decoding plays an important role in understanding our visual systems. Recent functional magnetic resonance imaging (fMRI) studies have made great advances predicting the content of single stimulus from evoked response. In this work, we proposed a novel framework to extend previous works by simultaneously temporal and category information stimuli fMRI activities. Approach. 3 T data five volunteers were acquired while they viewing categories natural images...
Background: The thalamus, as a key relay of neuronal information flow between subcortical structures and cortical networks, has been implicated in focal limbic seizures propagation, awareness maintenance, seizure-related cognitive deficits. However, the specific functional alterations different thalamic nuclei subcortical-cortical systems temporal lobe epilepsy (TLE) remain largely unknown. Methods: We examined connectivity (FC) 26 TLE patients 30 healthy controls matched for sex, age,...
When we view a scene, the visual cortex extracts and processes information in scene through various kinds of neural activities. Previous studies have decoded activity into single/multiple semantic category tags which can caption to some extent. However, these are isolated words with no grammatical structure, insufficiently conveying what contains. It is well-known that textual language (sentences/phrases) superior single word disclosing meaning images as well reflecting people's real...
Al-Cu-Mg high-strength alloys are widely used in industrial production because of their excellent mechanical performance and good machining properties. In this study, first-principles calculations based on density functional theory were carried out to investigate the influence Mg doping structural stability properties Al2Cu (θ) precipitated phase alloys. The results show that stability, electronic structure, bulk modulus, anisotropy, thermodynamic Al2CuMgX change with concentration (X = 2,...