110 citations · 320 across the 17 of their papers we have counts for
17 papers
SPECTRE: Spectral Pre-training Embeddings with Cylindrical Temporal Rotary Position Encoding for Fine-Grained sEMG-Based Movement Decoding
Zihan Weng, Chanlin Yi, Pouya Bashivan +6
Decoding fine-grained movement from non-invasive surface Electromyography (sEMG) is a challenge for prosthetic control due to signal non-stationarity and low signal-to-noise ratios…
Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data
Yiqian Luo, Qiurong Chen, Fali Li +3
Autism Spectrum Disorder (ASD) is a pervasive developmental disorder of the central nervous system, primarily manifesting in childhood. It is characterized by atypical and repetiti…
Markov Chain-Guided Graph Construction and Sampling Depth Optimization for EEG-Based Mental Disorder Detection
Yihan Wu, Tao Chang, Peng Xu +1
Graph Neural Networks (GNNs) have received considerable attention since its introduction. It has been widely applied in various fields due to its ability to represent graph structu…
Short-length SSVEP data extension by a novel generative adversarial networks based framework
Yudong Pan, Ning Li, Yangsong Zhang +2
Steady-state visual evoked potentials (SSVEPs) based brain-computer interface (BCI) has received considerable attention due to its high information transfer rate (ITR) and availabl…
A Transformer-based deep neural network model for SSVEP classification
Jianbo Chen, Yangsong Zhang, Yudong Pan +2
Steady-state visual evoked potential (SSVEP) is one of the most commonly used control signal in the brain-computer interface (BCI) systems. However, the conventional spatial filter…
Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation
Yangsong Zhang, Subhankar Roy, Hongtao Lu +2
In this work we address multi-target domain adaptation (MTDA) in semantic segmentation, which consists in adapting a single model from an annotated source dataset to multiple unann…
Schizophrenia detection based on EEG using Recurrent Auto-Encoder framework
Yihan Wu, Min Xia, Xiuzhu Wang +1
Schizophrenia (SZ) is a serious mental disorder that could seriously affect the patient's quality of life. In recent years, detection of SZ based on deep learning (DL) using electr…
Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition
Yihan Wu, Min Xia, Li Nie +2
In recent years, emotion recognition based on electroencephalography (EEG) has received growing interests in the brain-computer interaction (BCI) field. The neuroscience researches…
Hierarchical emotion-recognition framework based on discriminative brain neural network topology and ensemble co-decision strategy
Cunbo Li, Peiyang Li, Yangsong Zhang +5
Brain neural networks characterize various information propagation patterns for different emotional states. However, the statistical features based on traditional graph theory may…
Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)
Aung Aung Phyo Wai, Yangsong Zhang, Heng Guo +5
Steady-state visual evoked potentials (SSVEP) brain-computer interface (BCI) provides reliable responses leading to high accuracy and information throughput. But achieving high acc…
Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs
Yangsong Zhang, Erwei Yin, Fali Li +4
Effective frequency recognition algorithms are critical in steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs). In this study, we present a hierarch…
Reconfiguration of Brain Network between Resting-state and Oddball Paradigm
Fali Li, Chanlin Yi, Yuanyuan Liao +8
The oddball paradigm is widely applied to the investigation of multiple cognitive functions. Prior studies have explored the cortical oscillation and power spectral differing from…
Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI
Yangsong Zhang, Erwei Yin, Fali Li +7
Canonical correlation analysis (CCA) is a state-of-the-art method for frequency recognition in steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) sys…
Heterogeneity of Synaptic Input Connectivity Regulates Spike-based Neuronal Avalanches
Shengdun Wu, Yangsong Zhang, Yan Cui +7
Our mysterious brain is believed to operate near a non-equilibrium point and generate critical self-organized avalanches in neuronal activity. Recent experimental evidence has reve…
Frequency-difference-dependent stochastic resonance in neural systems
Daqing Guo, Matjaz Perc, Yangsong Zhang +2
Biological neurons receive multiple noisy oscillatory signals, and their dynamical response to the superposition of these signals is of fundamental importance for information proce…
Regulation of Irregular Neuronal Firing by Autaptic Transmission
Daqing Guo, Shengdun Wu, Mingming Chen +7
The importance of self-feedback autaptic transmission in modulating spike-time irregularity is still poorly understood. By using a biophysical model that incorporates autaptic coup…
Firing regulation of fast-spiking interneurons by autaptic inhibition
Daqing Guo, Mingming Chen, Matjaz Perc +6
Fast-spiking (FS) interneurons in the brain are self-innervated by powerful inhibitory GABAergic autaptic connections. By computational modelling, we investigate how autaptic inhib…