activity
20162020
most citedFrequency-difference-dependent stochastic resonance in neural systems

80 citations · 151 across the 4 of their papers we have counts for

collaborators

7 papers

eess.SP2020

Extension of causal decomposition in the mutual complex dynamic process

Yi Zhang, Qin Yang, Lifu Zhang +4

Causal decomposition depicts a cause-effect relationship that is not based on the concept of prediction, but based on the phase dependence of time series. It has been validated in…

q-bio.NC20202 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.NC201869 cited

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…

q-bio.NC2018

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.NC201780 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…

q-bio.NC2016

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…