390 citations · 548 across the 13 of their papers we have counts for
13 papers
Digital Twin Brain: a simulation and assimilation platform for whole human brain
Wenlian Lu, Longbin Zeng, Xin Du +12
In this work, we present a computing platform named digital twin brain (DTB) that can simulate spiking neuronal networks of the whole human brain scale and more importantly, a pers…
Toward stochastic neural computing
Yang Qi, Zhichao Zhu, Yiming Wei +5
The highly irregular spiking activity of cortical neurons and behavioral variability suggest that the brain could operate in a fundamentally probabilistic way. Mimicking how the br…
Self-organization of nonlinearly coupled neural fluctuations into synergistic population codes
Hengyuan Ma, Yang Qi, Pulin Gong +3
Neural activity in the brain exhibits correlated fluctuations that may strongly influence the properties of neural population coding. However, how such correlated neural fluctuatio…
On a framework of data assimilation for neuronal networks
Wenyong Zhang, Boyu Chen, Jianfeng Feng +1
When handling real-world data modeled by a complex network dynamical system, the number of the parameters is always even much more than the size of the data. Therefore, in many cas…
Analytic Investigation for Spatio-temporal Patterns Propagation in Spiking Neural Networks
Ning Hua, Xiangnan He, Wenlian Lu +1
Based upon the moment closure approach, a Gaussian random field is constructed to quantitatively and analytically characterize the dynamics of a random point field. The approach pr…
Dual Skipping Networks
Changmao Cheng, Yanwei Fu, Yu-Gang Jiang +4
Inspired by the recent neuroscience studies on the left-right asymmetry of the human brain in processing low and high spatial frequency information, this paper introduces a dual sk…
The Increase of the Functional Entropy of the Human Brain with Age
Y. Yao, W. L. Lu, B. Xu +4
We use entropy to characterize intrinsic ageing properties of the human brain. Analysis of fMRI data from a large dataset of individuals, using resting state BOLD signals, demonstr…
A brain-wide association study of DISC1 genetic variants reveals a relationship with the structure and functional connectivity of the precuneus in schizophrenia
Xiaohong Gong, Wenlian Lu, Keith M. Kendrick +7
The Disrupted in Schizophrenia Gene 1 (DISC1) plays a role in both neural signalling and development and is associated with schizophrenia, although its links to altered brain struc…
Achieving Precise Mechanical Control in Intrinsically Noisy Systems
Wenlian Lu, Jianfeng Feng, Shun-ichi Amari +1
How can precise control be realised in intrinsically noisy systems? Here, we develop a general theoretical framework that provides a way to achieve precise control in signal-depend…
Diversity of Intrinsic Frequency Encoding Patterns in Rat Cortical Neurons -Mechanisms and Possible Functions
Jing Kang, Hugh P. C. Robinson, Jianfeng Feng
Extracellular recordings of single neurons in primary and secondary somatosensory cortices of monkeys in vivo have shown that their firing rate can increase, decrease, or remain co…
Computational modeling of neuronal networks
Xuejuan Zhang, Jianfeng Feng
Human brain contains about 10 billion neurons, each of which has about 10~10,000 nerve endings from which neurotransmitters are released in response to incoming spikes, and the rel…
Bifurcations of Emergent Bursting in a Neuronal Network
Yu Wu, Wenlian Lu, Wei Lin +2
Currently we routinely develop a complex neuronal network to explain observed but often paradoxical phenomena based upon biological recordings. Here we present a general approach t…
Analyzing Multiple Nonlinear Time Series with Extended Granger Causality
Yonghong Chen, Govindan Rangarajan, Jianfeng Feng +1
Identifying causal relations among simultaneously acquired signals is an important problem in multivariate time series analysis. For linear stochastic systems Granger proposed a si…