199 citations · 742 across the 14 of their papers we have counts for
10 papers · 1 filter
Functional importance of noise in neuronal information processing
Daqing Guo, Matjaz Perc, Tiejun Liu +1
Noise is an inherent part of neuronal dynamics, and thus of the brain. It can be observed in neuronal activity at different spatiotemporal scales, including in neuronal membrane po…
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…
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…