Jianfeng Feng

Tian Ge, Jianfeng Feng, Derrek P. Hibar, Paul M. Thompson, Thomas E. Nichols: Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures. NeuroImage 63(2): 858-873 (2012)

Dimitrios V. Vavoulis, Volko A. Straub, John A. D. Aston, Jianfeng Feng: A Self-Organizing State-Space-Model Approach for Parameter Estimation in Hodgkin-Huxley-Type Models of Single Neurons. PLoS Computational Biology 8(3) (2012)

Tian Ge, Wei Lin, Jianfeng Feng: Invariance Principles Allowing of Non-Lyapunov Functions for Estimating Attractor of Discrete Dynamical Systems. IEEE Trans. Automat. Contr. 57(2): 500-505 (2012)

Bo Yang, Jiming Liu, Jianfeng Feng: On the Spectral Characterization and Scalable Mining of Network Communities. IEEE Trans. Knowl. Data Eng. 24(2): 326-337 (2012)

Qiang Luo, Tian Ge, Jianfeng Feng: Granger causality with signal-dependent noise. NeuroImage 57(4): 1422-1429 (2011)

Jing Kang, Bing Xu, Ye Yao, Wei Lin, Conor Hennessy, Peter Fraser, Jianfeng Feng: A Dynamical Model Reveals Gene Co-Localizations in Nucleus. PLoS Computational Biology 7(7) (2011)

Enrico Rossoni, Jing Kang, Jianfeng Feng: Controlling precise movement with stochastic signals. Biological Cybernetics 102(5): 441-450 (2010)

Cunlu Zou, Christophe Ladroue, Shuixia Guo, Jianfeng Feng: Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality Approach. BMC Bioinformatics 11: 337 (2010)

Wenlian Lu, Enrico Rossoni, Jianfeng Feng: On a Gaussian neuronal field model. NeuroImage 52(3): 913-933 (2010)

Jie Zhang, Kai Zhang, Jianfeng Feng, Michael Small: Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait. PLoS Computational Biology 6(12) (2010)

Tian Ge, Wenlian Lu, Jianfeng Feng: Find synaptic topology from spike trains. IJCNN 2010: 1-6

Wenlian Lu, Jianfeng Feng: On Gaussian random neuronal field model: Moment neuronal network approach. IJCNN 2010: 1-8

Yang Zhan, Shuixia Guo, Keith M. Kendrick, Jianfeng Feng: Filtering noise for synchronised activity in multi-trial electrophysiology data using Wiener and Kalman filters. Biosystems 96(1): 1-13 (2009)

Cunlu Zou, Katherine J. Denby, Jianfeng Feng: Granger causality vs. dynamic Bayesian network inference: a comparative study. BMC Bioinformatics 10: 401 (2009)

Cunlu Zou, Jianfeng Feng: Granger causality vs. dynamic Bayesian network inference: a comparative study. BMC Bioinformatics 10 (2009)

Xuejuan Zhang, Gongqiang You, Tianping Chen, Jianfeng Feng: Maximum Likelihood Decoding of Neuronal Inputs from an Interspike Interval Distribution. Neural Computation 21(11): 3079-3105 (2009)

Tian Ge, Keith M. Kendrick, Jianfeng Feng: A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning. PLoS Computational Biology 5(11) (2009)

Yuanqing Li, Praneeth Namburi, Zhuliang Yu, Cuntai Guan, Jianfeng Feng, Zhenghui Gu: Voxel Selection in fMRI Data Analysis Based on Sparse Representation. IEEE Trans. Biomed. Engineering 56(10): 2439-2451 (2009)

Cong Zhou, Lucas D. Bowler, Jianfeng Feng: A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data. BMC Bioinformatics 9 (2008)

Shuixia Guo, Jianhua Wu, Mingzhou Ding, Jianfeng Feng: Uncovering Interactions in the Frequency Domain. PLoS Computational Biology 4(5) (2008)

Enrico Rossoni, Jianfeng Feng, Brunello Tirozzi, David Brown, Gareth Leng, Françoise Moos: Emergent Synchronous Bursting of Oxytocin Neuronal Network. PLoS Computational Biology 4(7) (2008)

Phill Rowcliffe, Jianfeng Feng: Training Spiking Neuronal Networks With Applications in Engineering Tasks. IEEE Transactions on Neural Networks 19(9): 1626-1640 (2008)

Bo Yang, Jiming Liu, Jianfeng Feng, Dayou Liu: On Modularity of Social Network Communities: The Spectral Characterization. Web Intelligence 2008: 127-133

Enrico Rossoni, Jianfeng Feng: Decoding spike train ensembles: tracking a moving stimulus. Biological Cybernetics 96(1): 99-112 (2007)

Jianhua Wu, Keith M. Kendrick, Jianfeng Feng: A novel approach to detect hot-spots in large-scale multivariate data. BMC Bioinformatics 8 (2007)

Jianfeng Feng, Mariya Shcherbina, Brunello Tirozzi, Gongqiang You: Optimal movement control models of Langevin and Hamiltonian types. Mathematical and Computer Modelling 46(5-6): 680-698 (2007)

Peter Williams, Sheng Li, Jianfeng Feng, Si Wu: A Geometrical Method to Improve Performance of the Support Vector Machine. IEEE Transactions on Neural Networks 18(3): 942-947 (2007)

Benoît Gaillard, Hilary Buxton, Jianfeng Feng: Population approach to a neural discrimination task. Biological Cybernetics 94(3): 180-191 (2006)

Simon Durrant, Jianfeng Feng: Negatively correlated firing: the functional meaning of lateral inhibition within cortical columns. Biological Cybernetics 95(5): 431-453 (2006)

Phill Rowcliffe, Jianfeng Feng, Hilary Buxton: Spiking perceptrons. IEEE Transactions on Neural Networks 17(3): 803-807 (2006)

Si Wu, Jianfeng Feng, Shun-ichi Amari: The Ideal Noisy Environment for Fast Neural Computation. ISNN (1) 2006: 1-6

Jianfeng Feng, Enrico Ferraro, Brunello Tirozzi: Impact of temperature and pH value on the stability of hGHRH: An MD approach^, . Mathematical and Computer Modelling 41(10): 1157-1170 (2005)

KangWoo Lee, Hilary Buxton, Jianfeng Feng: Cue-guided search: a computational model of selective attention. IEEE Transactions on Neural Networks 16(4): 910-924 (2005)

Peter Williams, Sheng Li, Jianfeng Feng, Si Wu: Scaling the Kernel Function to Improve Performance of the Support Vector Machine. ISNN (1) 2005: 831-836

Zimbul Albo, Gonzalo Viana Di Prisco, Yonghong Chen, Govindan Rangarajan, Wilson A. Truccolo, Jianfeng Feng, Robert P. Vertes, Mingzhou Ding: Is partial coherence a viable technique for identifying generators of neural oscillations? Biological Cybernetics 90(5): 318-326 (2004)

Guibin Li, Jianfeng Feng: Stimulus-evoked synchronization in neuronal models. Neurocomputing 58-60: 203-208 (2004)

Jianfeng Feng, David Brown: Decoding Input Signals in Time Domain - A Model Approach. Journal of Computational Neuroscience 16(3): 237-249 (2004)

Jianfeng Feng, Yunlian Sun, Hilary Buxton, Gang Wei: Training integrate-and-fire neurons with the Informax principle II. IEEE Transactions on Neural Networks 14(2): 326-336 (2003)

Eleni Vasilaki, Jianfeng Feng, Hilary Buxton: Temporal album. IEEE Transactions on Neural Networks 14(2): 439-443 (2003)

Jianfeng Feng: The Minimum-Variance Theory Revisited. IWANN (1) 2003: 62-69

Jianfeng Feng: Training neuron models with the Informax principle. Neurocomputing 44-46: 97-101 (2002)

Ping Zhang, Jianfeng Feng: Ideal observer of single neuron activity. Neurocomputing 44-46: 243-247 (2002)

Jianfeng Feng, Guibin Li: Impact of Geometrical Structures on the Output of Neuronal Models: A Theoretical and Numerical Analysis. Neural Computation 14(3): 621-640 (2002)

Phill Rowcliffe, Jianfeng Feng, Hilary Buxton: Clustering within Integrate-and-Fire Neurons for Image Segmentation. ICANN 2002: 69-74

David Brown, Stuart Feerick, Jianfeng Feng: Significance of random neuronal drive. Neurocomputing 38-40: 111-119 (2001)

Stuart Feerick, Jianfeng Feng, David Brown: Inhibitory inputs increase a neurons's firing rate. Neurocomputing 38-40: 197-203 (2001)

Jianfeng Feng, Guibin Li: Behaviour of two-compartment models. Neurocomputing 38-40: 205-211 (2001)

Andrew P. Davison, Jianfeng Feng, David Brown: Spike synchronization in a biophysically-detailed model of the olfactory bulb. Neurocomputing 38-40: 515-521 (2001)

Jianfeng Feng: Is the integrate-and-fire model good enough?--a review. Neural Networks 14(6-7): 955-975 (2001)

Jianfeng Feng, Peter Williams: The generalization error of the symmetric and scaled support vector machines. IEEE Transactions on Neural Networks 12(5): 1255-1260 (2001)

Jianfeng Feng: Neuronal Models with Current Inputs. IWANN (1) 2001: 47-54

Jianfeng Feng: Non-symmetric Support Vector Machines. IWANN (1) 2001: 418-426

David Brown, Jianfeng Feng: Low correlation between random synaptic inputs impacts considerably on the output of the Hodgkin-Huxley model. Neurocomputing 32-33: 61-66 (2000)

Stuart Feerick, Jianfeng Feng, David Brown: Random pulse input versus continuous current plus white noise: Are they equivalent? Neurocomputing 32-33: 127-132 (2000)

Jianfeng Feng: Synchronization driven by correlated inputs. Neurocomputing 32-33: 371-378 (2000)

Jianfeng Feng, David Brown: Impact of Correlated Inputs on the Output of the Integrate-and-Fire Model. Neural Computation 12(3): 671-692 (2000)

Jianfeng Feng, David Brown: Coefficient of variation of interspike intervals greater than 0.5. How and when? Biological Cybernetics 80(5): 291-297 (1999)

David Brown, Jianfeng Feng: Is there a problem matching real and model CV(ISI)? Neurocomputing 26-27: 87-91 (1999)

Jianfeng Feng: Origin of firing varibility of the integrate-and-fire model. Neurocomputing 26-27: 117-122 (1999)

Andrew P. Davison, Jianfeng Feng, David Brown: Structure of Lateral Inhibition in an Olfactory Bulb Model. IWANN (1) 1999: 189-196

David Brown, Jianfeng Feng: Effects of Correlation and Degree of Balance in Random Synaptic Inputs on the Output of the Hodgkin-Huxley Model. IWANN (1) 1999: 197-205

Stuart Feerick, Jianfeng Feng, David Brown: Paradoxical Relationship between Output and Input Regularity for the FitzHugh-Nagumo Model. IWANN (1) 1999: 221-229

Jianfeng Feng: Integrate-and-Fire Model with Correlated Inputs. IWANN (1) 1999: 258-267

Jianfeng Feng: Estimating Exact Form of Generalisation Errors. IWANN (1) 1999: 413-420

Jianfeng Feng, David Brown: Impact of temporal variation and the balance between excitation and inhibition on the output of the perfect integrate-and-fire model. Biological Cybernetics 78(5): 369-376 (1998)

Jianfeng Feng, David Brown: Fixed Point Attractor Analysis for a Class of Neurodynamics. Neural Computation 10(1): 189-214 (1998)

Jianfeng Feng, Brunello Tirozzi, David Brown: Output jitter diverges to infinity, converges to zero or remains constant. ESANN 1998: 39-48

Jianfeng Feng, David Brown: What is observable in a class of neurodynamics? ESANN 1998: 149-154

Jianfeng Feng, Brunello Tirozzi: Convergence theorems for a class of learning algorithms with VLRPs. Neurocomputing 15(1): 45-68 (1997)

Jianfeng Feng, Brunello Tirozzi: A discrete version of the dynamic link network. Neurocomputing 15(2): 91-106 (1997)

Jianfeng Feng: Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics. Neural Computation 9(1): 43-49 (1997)

Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury: Linsker-type Hebbian Learning: A Qualitative Analysis on the Parameter Space. Neural Networks 10(4): 705-720 (1997)

Jianfeng Feng, David Brown: Viewing a Class of Neurodynamics on Parameter Space. IWANN 1997: 546-555

Jianfeng Feng, David Brown: A Novel Approach for Analyzing Dynamics in Neural Networks with Saturated Characteristics. Neural Processing Letters 4(1): 9-16 (1996)

Jianfeng Feng: Establishment of topological maps - a model study. Neural Processing Letters 2(6): 9-12 (1995)

Jianfeng Feng, Brunello Tirozzi: An Application of the Saturated Attractor Analysis to Three Typical Models. IWANN 1995: 353-360

Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury: A Rigorous Analysis of Linsker-Type Hebbian Learning. NIPS 1994: 319-326