activity
20142023
most citedRegulation of Irregular Neuronal Firing by Autaptic Transmission

110 citations · 446 across the 12 of their papers we have counts for

collaborators
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9 papers · 1 filter

q-bio.NC2023★ 1 cited

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…

q-bio.NC2020★ 2 cited

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…

q-bio.NC2018★ 2 cited

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…

q-bio.NC2018★ 2 cited

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…

q-bio.NC2018

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…

q-bio.NC2017★ 80 cited

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…