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- Xuyan Xiang, Yingchun Deng, Xiangqun Yang
- 2009 WRI World Congress on Computer Science and…
- 2009

According to the usual approximation scheme, we extend the Spike-Rate Perceptron to develop a more biologically plausible so-called Extended Spike-Rate Perceptron with renewal process inputs, which employs both first and second statistics, i.e. the means, variances and correlations of the synaptic input. We show that such perceptron, even a single neuron,… (More)

- Xuyan Xiang, Yingchun Deng, Xiangqun Yang
- Soft Comput.
- 2009

- Xuyan Xiang, Hui Ou, Yingchun Deng
- Neurocomputing
- 2010

- Xuyan Xiang, Yingchun Deng, Xiangqun Yang
- ICNC
- 2010

- Xuyan Xiang, Yingchun Deng, Xiangqun Yang
- 2009 WRI Global Congress on Intelligent Systems
- 2009

According to the usual approximation scheme, we present a more biologically plausible so-called Second Order Spiking Perceptron with renewal process inputs, which employs both first and second statistics, i.e. the means, variances and correlations of the synaptic input. We show that such perceptron, even a single neuron, is able to perform complex… (More)

- Yiming Ding, Xuyan Xiang
- ArXiv
- 2016

Long memory or long range dependency is an important phenomenon that may arise in the analysis of time series or spatial data. Most of the definitions of long memory of a stationary process X = {X1, X2, · · · , } are based on the second-order properties of the process. The excess entropy of a stationary process is the summation of redundancies which relates… (More)

- Yonglin Wang, Xuyan Xiang
- 2015

After discussions of a few relevant patents of neural networks, a model description of moment neuronal networks with context units is given by introducing intra-layer inputs. The dynamics of homogeneous networks derived from the intra-inputs are explored, including the input-output relationships and the stability of such network. It is shown how the… (More)

- Xuyan Xiang, Yingchun Deng, Xiangqun Yang, Jian Li
- 2010 International Conference on Computer…
- 2010

We have developed a totally different approach from Maximum likelihood widely employed to estimate the kinetic constants of single-ion channels of hierarchical mechanism. It is found that all kinetic constants are uniquely determined by the probability density functions of their lifetime and death-time of the middle states. An algorithm to calculate all… (More)

We consider how to determine all transition rates of an ionic channel when it can be conformationally described by a star-graph branch Markov chain with continuous time. It is found that all transition rates are uniquely determined by the distributions of their lifetime and death-time at the end state of each branch. An algorithm to exactly calculate all… (More)

- Xuyan Xiang, Yingchun Deng, Xiangqun Yang
- ICNC
- 2009