Impact of environmental inputs on reverse-engineering approach to network structures (2009)
Wu, Jianhua, Sinfield, James L, Buchanan-Wollaston, Vicky, Feng, Jianfeng
Abstract Background Uncovering complex network structures from a biological system is one of the main topic in system biology. The network structures can be inferred by the dynamical Bayesian network...
Voxel selection in fMRI data analysis based on sparse representation (2009)
Li, Yuanqiang, Namburi, Praneeth, Yu, Zhuliang, Guan, Cuntai, Feng, Jianfeng, Gu, Zhenghui
Multivariate pattern analysis approaches toward detection of brain regions from fMRI data have been gaining attention recently. In this study, we introduce an iterative sparse-representation-based...
Learning alters theta-nested gamma oscillations in inferotemporal cortex (2009)
Keith M. Kendrick, Yang Zhan, Hanno Fischer, Alister U. Nicol, Xuejuan Zhang, Jianfeng Feng
How coupled brain rhythms influence cortical information processing to support learning is unresolved. Local field potential and neuronal activity recordings from 64- electrode arrays in sheep...
Granger causality vs. dynamic Bayesian network inference: a comparative study (2009)
Abstract Background In computational biology, one often faces the problem of deriving the causal relationship among different elements such as genes, proteins, metabolites, neurons and so on, based...
Granger causality vs. dynamic Bayesian network inference: a comparative study (2009)
Background In computational biology, one often faces the problem of deriving the causal relationship among different elements such as genes, proteins, metabolites, neurons and so on, based upon...
Learning alters theta-nested gamma oscillations in inferotemporal cortex (2009)
Keith M. Kendrick, Yang Zhan, Hanno Fischer, Alister U. Nicol, Xuejuan Zhang, Jianfeng Feng
How coupled brain rhythms influence cortical information processing to support learning is unresolved. Local field potential and neuronal activity recordings from 64- electrode arrays in sheep...
Dimitris V. Vavoulis, Volko A. Straub, Ildikó Kemenes, György Kemenes, Jianfeng Feng, Paul R
stagnalis Central pattern generators (CPGs) are networks underlying rhythmic motor behaviours and they are dynamically regulated by neuronal elements that are extrinsic or intrinsic to the...
ORIGINAL PAPER Decoding spike train ensembles: tracking a moving stimulus (2009)
Abstract We consider the issue of how to read out the information from nonstationary spike train ensembles. Based on the theory of censored data in statistics, we propose a ‘censored ’...
BMC Systems Biology BioMed Central (2009)
Jianhua Wu, James L Sinfield, Vicky Buchanan-wollaston, Jianfeng Feng
Research article Impact of environmental inputs on reverse-engineering approach to network structures
DYNAMICAL BEHAVIOUR OF A LARGE COMPLEX SYSTEM (2008)
Jianfeng Feng, Mariya Shcherbina, Brunello Tirozzi
(Communicated by Vieri Mastropietro) Abstract. Limit theorems for a linear dynamical system with random interactions are established. The theorems enable us to characterize the dynamics of a large...
Training Spiking Neuronal Networks With Applications in Engineering Tasks (2008)
Phill Rowcliffe, Jianfeng Feng
Abstract — Spiking neuronal models employing means, variances and correlations for computation are introduced. We present two approaches in the design of spiking neuronal networks, both of which...
Jianfeng Feng, Mariya Shcherbina, Brunello Tirozzi, P. Aldo Moro
(Communicated by Aim Sciences) Abstract. We study the stability of the dynamics of a network of n formal neurons interacting through an asymmetric matrix with independent random Gaussian elements of...
Lateral inhibition is a well documented aspect of neural architec-ture in the main sensory systems. Existing accounts of lateral inhibi-tion focus on its role in sharpening distinctions between...
Zhou, Cong, Bowler, Lucas D, Feng, Jianfeng
Abstract Background A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughput protein...
Zhou, Cong, Bowler, Lucas D., Feng, Jianfeng
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughput protein...
Detecting Correlation Changes in Electrophysiological Data (2008)
Jianhua Wu, Keith Kendrick, Jianfeng Feng
A correlation multi-variate analysis of variance (MANOVA) test to statistically analyze changing patterns of multi-electrode array (MEA) electrophysiology data is developed. The approach enables us...
Commun. Math. Phys. 216, 139 -- 177 (2001) (2008)
Communications In Mathematical, Jianfeng Feng, Mariya Shcherbina, Brunello Tirozzi
We estimate the critical capacity of the zero-temperature Hopfield model by using a novel and rigorous method. The probability of having a stable fixed point is one when # 0.113 for a large number of...
Biol. Cybern. 90, 318--326 (2004) (2008)
Doi Springer-Verlag Letter, Zimbul Albo, Gonzalo Viana, Di Prisco, Yonghong Chen, Govindan Rangarajan, ...
Partial coherence measures the linear relationship between two signals after the influence of a third signal has been removed. Gersch proposed in 1970 that partial coherence could be used to identify...
Uncovering Interactions in Frequency Domains (2008)
Shuixia Guo, Jianhua Wu, Mingzhou Ding, Jianfeng Feng
Oscillatory activity plays a critical role in regulating biological processes ranging from subcellular, cellular, network to whole organism. We shed lights on this issue by introducing a novel...
Bmc Bioinformatics, Cong Zhou, Lucas D Bowler, Jianfeng Feng
Research article A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Jianfeng Feng, Mariya Shcherbina, Brunello Tirozzi
Abstract: We estimate the critical capacity of the zero-temperature Hopfield model by using a novel and rigorous method. The probability of having a stable fixed point is one when # 0.113 for a large...
On the Critical Capacity of the Hopfield Model (2007)
Jianfeng Feng, Mariya Shcherbina, Brunello Tirozzi
: We estimate the critical capacity of the zero-temperature Hopfield model by using a novel and rigorous method. The probability of having a stable fixed point is one when # # 0.113 for a large...
Convergence to Global Minima for a Class of Diffusion Processes (2007)
Jianfeng Feng, Hans-otto Georgii, David Brown
We prove that there exists a gain function (j(t); fi(t)) t0 such that the solution of the SDE dx t = j(t)(\Gamma grad U(x t )dt + fi(t)dB t ) 'settles' down on the set of global minima of U...
1 Optimally Decoding The Input Rate From An Observation Of The Interspike Intervals (2007)
A neuron extensively receives both inhibitory and excitatory inputs. What is the ratio r between these two types of input so that the neuron could most accurately read out input information (rate)?...
Jianfeng Feng, Brunello Tirozzi
Detectable and undetectable input signals for the integrate-and-fire model
Towards a Mathematical Foundation of Minimum-variance Theory (2007)
In [11] the authors proposed the minimum-variance theory which accounts for arm and eye movements with noise signal inputs. Here we present a detailed theoretical analysis of the theory and...
A novel approach to detect hot-spots in large-scale multivariate data (2007)
Wu, Jianhua, Kendrick, Keith M, Feng, Jianfeng
Abstract Background Progressive advances in the measurement of complex multifactorial components of biological processes involving both spatial and temporal domains have made it difficult to identify...
A novel approach to detect hot-spots in large-scale multivariate data (2007)
Wu, Jianhua, Kendrick, Keith M., Feng, Jianfeng
Background: Progressive advances in the measurement of complex multifactorial components of biological processes involving both spatial and temporal domains have made it difficult to identify the...
Vavoulis, Dimitris V, Nikitin, Eugeny S, Feng, Jianfeng, Benjamin, Paul R, Kemenes, György
No abstract available.
BMC Bioinformatics Methodology article (2007)
Jianhua Wu, Keith M Kendrick, Jianfeng Feng, Jianfeng Feng
A novel approach to detect hot-spots in large-scale multivariate data
Configuring Spiking Neural Networks for (2006)
Takaki Makino, Jianfeng Feng, I. Introduction
We have developed a general framework to configure a spiking neuronal network so that it can precisely generate a desired spatio-temporal pattern of spikes. The unit of spiking neuronal networks...
Synchronization in Networks with Random Interactions: Theory and Applications (2005)
Jianfeng Feng, Viktor K. Jirsa, Mingzhou Ding
Synchronization is an emergent property in networks of interacting dynamical elements. Here we review some recent results on synchronization in randomly cou-pled networks. Asymptotical behavior of...
Sufficient And Necessary Condition For The Convergence Of Stochastic Approximation Algorithms (2005)
We show sufficient and necessary condition for the convergence of stochastic approximation algorithms, which were proposed 50 years ago and have been widely applied to various areas and been...
Analyzing Multiple Nonlinear Time Series with Extended Granger Causality (2004)
Chen, Yonghong, Rangarajan, Govindan, Feng, Jianfeng, Ding, Mingzhou
Identifying causal relations among simultaneously acquired signals is an important problem in multivariate time series analysis. For linear stochastic systems Granger proposed a simple procedure...
Analyzing multiple nonlinear time series with extended Granger causality (2004)
Chen, Yonghong, Rangarajan, Govindan, Feng, Jianfeng, Ding, Mingzhou
Identifying causal relations among simultaneously acquired signals is an important problem in multivariate time series analysis. For linear stochastic systems Granger proposed a simple procedure...
Analyzing multiple nonlinear time series with extended Granger causality (2004)
Chen, Yonghong, Rangarajan, Govindan, Feng, Jianfeng, Ding, Mingzhou
Identifying causal relations among simultaneously acquired signals is an important problem in multivariate time series analysis. For linear stochastic systems Granger proposed a simple procedure...
Analyzing multiple nonlinear time series with extended Granger causality (2004)
Yonghong Chen, Govindan Rangarajan, Jianfeng Feng, Mingzhou Ding
Identifying causal relations among simultaneously acquired signals is an important problem in multivariate time series analysis. For linear stochastic systems Granger proposed a simple procedure...
The Behaviour of Integrate-and-fire and HodgkinHuxley Models With Correlated Inputs Phys (2001)
For the integrate-and-fire model and the Hodgkin--Huxley model, we consider how current inputs including #-wave and square-wave affect their outputs. Firstly the usual approximation is employed to...
Increasing inhibitory input increases neuronal firing rate: why and when (2001)
Increasing inhibitory input to single neuronal models, such as the FitzHughNagumo model and the Hodgkin-Huxley model, can sometimes increase their firing rates, a phenomenon which we termed as...
The Generalization Error of the Symmetric and Scaled Support Vector Machines (2001)
Abstract | It is generally believed that the support vector machine (SVM) optimizes the generalization error and outperforms other learning machines. We show analytically, by concrete examples in the...
Integrate-and-fire Models With Nonlinear Leakage (2000)
Can we express biophysical neuronal models as integrate-and-fire models with leakage coefficients which are no longer constant, as in the conventional leaky integrate-andfire (IF) model, but...
Convergence to Global Minima for a Class of Diffusion Processes (2000)
Physica A, Jianfeng Feng, Hans-Otto Georgii, David Brown
We prove that there exists a gain function (#(t);#(t)) t0 such that the solution of the SDE dx t =#(t)(-grad U (x t )dt+#(t)dB t ) `settles' down on the set of global minima of U . In...
Impact of Geometrical Structures On the Output of Neuronal Models - From Spikes To Bursts (2000)
What is the difference between the efferent spike train of a neuron with a large soma versus that of a neuron with a small soma? For both the two-compartment integrateand -fire (IF) model and the...
Increasing Inhibition Can Boost A Neuron's Firing Rate (2000)
Jianfeng Feng, Jianfeng Feng Et Al
Neurons are usually thought of as receiving information primarily through excitatory inputs, with inhibitory inputs playing only a regulating role. According to this view, the fact that a neuron res...
Impact of Correlated Inputs on the Output of the Integrate-and-fire Model (1999)
For the integrate-and-fire model with or without reversal potentials, we consider how correlated inputs affect the variability of cellular output. For both models the variability of efferent spike...
Linsker-type Hebbian Learning: A Qualitative Analysis On The Parameter Space (1995)
Feng, Jianfeng, Pan, Hong, Roychowdhury, Vwani
We propose a novel rigorous approach for the analysis of the Linsker's unsupervised Hebbian learning network. The behavior of this model is determined by the underl~ingn onlinear dynamics that are...
Uncovering Interactions in the Frequency Domain
Guo, Shuixia, Wu, Jianhua, Ding, Mingzhou, Feng, Jianfeng
Oscillatory activity plays a critical role in regulating biological processes at levels ranging from subcellular, cellular, and network to the whole organism, and often involves a large number of...
Emergent Synchronous Bursting of Oxytocin Neuronal Network
Rossoni, Enrico, Feng, Jianfeng, Tirozzi, Brunello, Brown, David, Leng, Gareth, Moos, Françoise
When young suckle, they are rewarded intermittently with a let-down of milk that results from reflex secretion of the hormone oxytocin; without oxytocin, newly born young will die unless they are...
Sufficient and necessary condition for the convergence of stochastic approximation algorithms
Chen, Neiping, Liu, Wenbin, Feng, Jianfeng
We present a sufficient and necessary condition for the convergence of stochastic approximation algorithms, which were proposed 50 years ago, have been widely applied to various areas and intensively...
Beyond Element-Wise Interactions: Identifying Complex Interactions in Biological Processes
Ladroue, Christophe, Guo, Shuixia, Kendrick, Keith, Feng, Jianfeng
Ge, Tian, Kendrick, Keith M., Feng, Jianfeng
Two main approaches in exploring causal relationships in biological systems using time-series data are the application of Dynamic Causal model (DCM) and Granger Causal model (GCM). These have been...