Hongmei Yan
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View article: The Efficacy and Central Remodeling Mechanism of a Composite TMS Pattern in First-Episode and Recurrent Depressive Disorders.
The Efficacy and Central Remodeling Mechanism of a Composite TMS Pattern in First-Episode and Recurrent Depressive Disorders. Open
Background: This study aims to evaluate the efficacy of a combined transcranial magnetic stimulation (TMS) protocol incorporating intermittent theta burst stimulation (iTBS) and low-frequency TMS in adults diagnosed with first-episode and …
View article: Salient Object Detection of Dynamic Night Scenes via Bio-Inspired Spotlight Attention and Hierarchical Edge-Texture Fusion
Salient Object Detection of Dynamic Night Scenes via Bio-Inspired Spotlight Attention and Hierarchical Edge-Texture Fusion Open
The perception of night scenes is of crucial importance for driving safety. In the dimly lit night environment, as the visibility of objects decreases, both experienced and inexperienced drivers often struggle to fully notice the objects c…
View article: Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding
Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding Open
Visual semantic decoding aims to extract perceived semantic information from the visual responses of the human brain and convert it into interpretable semantic labels. Although significant progress has been made in semantic decoding across…
View article: PESFormer: Boosting Macro- and Micro-expression Spotting with Direct Timestamp Encoding
PESFormer: Boosting Macro- and Micro-expression Spotting with Direct Timestamp Encoding Open
The task of macro- and micro-expression spotting aims to precisely localize and categorize temporal expression instances within untrimmed videos. Given the sparse distribution and varying durations of expressions, existing anchor-based met…
View article: A Few-Shot Object Detection Method for Endangered Species
A Few-Shot Object Detection Method for Endangered Species Open
Endangered species detection plays an important role in biodiversity conservation and is significant in maintaining ecological balance. Existing deep learning-based object detection methods are overly dependent on a large number of supervi…
View article: The role of consciousness in Chinese nominal metaphor processing: a psychophysical approach
The role of consciousness in Chinese nominal metaphor processing: a psychophysical approach Open
Conceptual metaphor theory (CMT) holds that most conceptual metaphors are processed unconsciously. However, whether multiple words can be integrated into a holistic metaphoric sentence without consciousness remains controversial in cogniti…
View article: From Sight to Insight: A Multi-task Approach with the Visual Language Decoding Model
From Sight to Insight: A Multi-task Approach with the Visual Language Decoding Model Open
Visual neural decoding aims to unlock the mysteries of how the human brain interprets the visual world. While early studies made some progress in decoding visual activity for singular type of information, they failed to concurrently reveal…
View article: Multi-Semantic Decoding of Visual Perception with Graph Neural Networks
Multi-Semantic Decoding of Visual Perception with Graph Neural Networks Open
Constructing computational decoding models to account for the cortical representation of semantic information plays a crucial role in understanding visual perception. The human visual system processes interactive relationships among differ…
View article: Neural encoding with unsupervised spiking convolutional neural network
Neural encoding with unsupervised spiking convolutional neural network Open
Accurately predicting the brain responses to various stimuli poses a significant challenge in neuroscience. Despite recent breakthroughs in neural encoding using convolutional neural networks (CNNs) in fMRI studies, there remain critical g…
View article: Neural encoding with unsupervised spiking convolutional neural network
Neural encoding with unsupervised spiking convolutional neural network Open
Accurately predicting the brain responses to various stimuli is big challenge in neuroscience. Although recent fMRI studies have made significant breakthroughs in neural encoding using convolutional neural networks (CNNs), there remains cr…
View article: A dual‐channel language decoding from brain activity with progressive transfer training
A dual‐channel language decoding from brain activity with progressive transfer training Open
When we view a scene, the visual cortex extracts and processes visual information in the scene through various kinds of neural activities. Previous studies have decoded the neural activity into single/multiple semantic category tags which …
View article: Long short‐term memory‐based neural decoding of object categories evoked by natural images
Long short‐term memory‐based neural decoding of object categories evoked by natural images Open
Visual perceptual decoding is one of the important and challenging topics in cognitive neuroscience. Building a mapping model between visual response signals and visual contents is the key point of decoding. Most previous studies used peak…
View article: Emotion in Chinese Words Could Not Be Extracted in Continuous Flash Suppression
Emotion in Chinese Words Could Not Be Extracted in Continuous Flash Suppression Open
Previous studies have demonstrated the automatic vigilance effect for faces and pictures and have attributed it to the brain's prioritized unconscious evaluation of early evolutionary stimuli that are critical to survival. Whether this eff…
View article: Perceptual load modulates contour integration in conscious and unconscious states
Perceptual load modulates contour integration in conscious and unconscious states Open
Previous research has documented that contour detection and integration may either be affected by local features such as the distances between elements or by high-level cognitive factors such as attention in our visual system. Less is know…
View article: No-Reference Image Quality Assessment Method Based on Visual Parameters
No-Reference Image Quality Assessment Method Based on Visual Parameters Open
Recent studies on no-reference image quality assessment (NR-IQA) methods usually learn to evaluate the image quality by regressing from human subjective scores of the training samples. This study presented an NR-IQA method based on the bas…
View article: A New Ultrasound Speckle Reduction Algorithm Based on Superpixel Segmentation and Detail Compensation
A New Ultrasound Speckle Reduction Algorithm Based on Superpixel Segmentation and Detail Compensation Open
Speckle is a kind of noise commonly found in ultrasound images (UIs). Although traditional local operation-based methods, such as bilateral filtering, perform well in de-noising normal natural images with suitable parameters, these methods…
View article: Criteria to evaluate the fidelity of image enhancement by MSRCR
Criteria to evaluate the fidelity of image enhancement by MSRCR Open
Image fidelity refers to the ability of a process to render an image accurately. As image enhancement algorithms have been developed in recent years, how to assess the performances of different image enhancement algorithms has become an im…
View article: Character Decomposition and Transposition Processes of Chinese Compound Words in Rapid Serial Visual Presentation
Character Decomposition and Transposition Processes of Chinese Compound Words in Rapid Serial Visual Presentation Open
Character order information is encoded at the initial stage of Chinese word processing, however, its time course remains underspecified. In this study, we assess the exact time course of the character decomposition and transposition proces…
View article: The Attentional Dependence of Emotion Cognition Is Variable with the Competing Task
The Attentional Dependence of Emotion Cognition Is Variable with the Competing Task Open
The relationship between emotion and attention has fascinated researchers for decades. Many previous studies have used eye-tracking, ERP, MEG, and fMRI to explore this issue but have reached different conclusions: some researchers hold tha…
View article: Character Decomposition and Transposition of Chinese Compound Words in the Right and Left Visual Fields
Character Decomposition and Transposition of Chinese Compound Words in the Right and Left Visual Fields Open
This study investigated the character decomposition and transposition processes of Chinese two-character compound words (canonical and transposed words) and pseudowords in the right and left visual fields using a dual-target rapid serial v…
View article: Character Decomposition and Transposition Processes in Chinese Compound Words Modulates Attentional Blink
Character Decomposition and Transposition Processes in Chinese Compound Words Modulates Attentional Blink Open
The attentional blink (AB) is the phenomenon in which the identification of the second of two targets (T2) is attenuated if it is presented less than 500 ms after the first target (T1). Although the AB is eliminated in canonical word condi…