Jianfeng Feng

	2012
74		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)
73		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)
72		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)
	2011
71		Qiang Luo, Tian Ge, Jianfeng Feng: Granger causality with signal-dependent noise. NeuroImage 57(4): 1422-1429 (2011)
70		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)
	2010
69		Tian Ge, Wenlian Lu, Jianfeng Feng: Find synaptic topology from spike trains. IJCNN 2010: 1-6
68		Wenlian Lu, Jianfeng Feng: On Gaussian random neuronal field model: Moment neuronal network approach. IJCNN 2010: 1-8
67		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)
66		Enrico Rossoni, Jing Kang, Jianfeng Feng: Controlling precise movement with stochastic signals. Biological Cybernetics 102(5): 441-450 (2010)
65		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)
	2009
64		Cunlu Zou, Katherine J. Denby, Jianfeng Feng: Granger causality vs. dynamic Bayesian network inference: a comparative study. BMC Bioinformatics 10: 401 (2009)
63		Cunlu Zou, Jianfeng Feng: Granger causality vs. dynamic Bayesian network inference: a comparative study. BMC Bioinformatics 10: (2009)
62		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)
61		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)
60		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)
	2008
59		Bo Yang, Jiming Liu, Jianfeng Feng, Dayou Liu: On Modularity of Social Network Communities: The Spectral Characterization. Web Intelligence 2008: 127-133
58		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)
57		Phill Rowcliffe, Jianfeng Feng: Training Spiking Neuronal Networks With Applications in Engineering Tasks. IEEE Transactions on Neural Networks 19(9): 1626-1640 (2008)
56		Shuixia Guo, Jianhua Wu, Mingzhou Ding, Jianfeng Feng: Uncovering Interactions in the Frequency Domain. PLoS Computational Biology 4(5): (2008)
55		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)
	2007
54		Jianhua Wu, Keith M. Kendrick, Jianfeng Feng: A novel approach to detect hot-spots in large-scale multivariate data. BMC Bioinformatics 8: (2007)
53		Enrico Rossoni, Jianfeng Feng: Decoding spike train ensembles: tracking a moving stimulus. Biological Cybernetics 96(1): 99-112 (2007)
52		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)
51		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)
	2006
50		Si Wu, Jianfeng Feng, Shun-ichi Amari: The Ideal Noisy Environment for Fast Neural Computation. ISNN (1) 2006: 1-6
49		Benoit Gaillard, Hilary Buxton, Jianfeng Feng: Population approach to a neural discrimination task. Biological Cybernetics 94(3): 180-191 (2006)
48		Simon Durrant, Jianfeng Feng: Negatively correlated firing: the functional meaning of lateral inhibition within cortical columns. Biological Cybernetics 95(5): 431-453 (2006)
47		Phill Rowcliffe, Jianfeng Feng, Hilary Buxton: Spiking perceptrons. IEEE Transactions on Neural Networks 17(3): 803-807 (2006)
	2005
46		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
45		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)
44		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)
	2004
43		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)
42		Jianfeng Feng, David Brown: Decoding Input Signals in Time Domain - A Model Approach. Journal of Computational Neuroscience 16(3): 237-249 (2004)
41		Guibin Li, Jianfeng Feng: Stimulus-evoked synchronization in neuronal models. Neurocomputing 58-60: 203-208 (2004)
	2003
40		Jianfeng Feng: The Minimum-Variance Theory Revisited. IWANN (1) 2003: 62-69
39		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)
38		Eleni Vasilaki, Jianfeng Feng, Hilary Buxton: Temporal album. IEEE Transactions on Neural Networks 14(2): 439-443 (2003)
	2002
37		Phill Rowcliffe, Jianfeng Feng, Hilary Buxton: Clustering within Integrate-and-Fire Neurons for Image Segmentation. ICANN 2002: 69-74
36		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)
35		Ping Zhang, Jianfeng Feng: Ideal observer of single neuron activity. Neurocomputing 44-46: 243-247 (2002)
34		Jianfeng Feng: Training neuron models with the Informax principle. Neurocomputing 44-46: 97-101 (2002)
	2001
33		Jianfeng Feng: Non-symmetric Support Vector Machines. IWANN (1) 2001: 418-426
32		Jianfeng Feng: Neuronal Models with Current Inputs. IWANN (1) 2001: 47-54
31		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)
30		Jianfeng Feng: Is the integrate-and-fire model good enough?--a review. Neural Networks 14(6-7): 955-975 (2001)
29		David Brown, Stuart Feerick, Jianfeng Feng: Significance of random neuronal drive. Neurocomputing 38-40: 111-119 (2001)
28		Stuart Feerick, Jianfeng Feng, David Brown: Inhibitory inputs increase a neurons's firing rate. Neurocomputing 38-40: 197-203 (2001)
27		Jianfeng Feng, Guibin Li: Behaviour of two-compartment models. Neurocomputing 38-40: 205-211 (2001)
26		Andrew P. Davison, Jianfeng Feng, David Brown: Spike synchronization in a biophysically-detailed model of the olfactory bulb. Neurocomputing 38-40: 515-521 (2001)
	2000
25		Jianfeng Feng, David Brown: Impact of Correlated Inputs on the Output of the Integrate-and-Fire Model. Neural Computation 12(3): 671-692 (2000)
24		Stuart Feerick, Jianfeng Feng, David Brown: Random pulse input versus continuous current plus white noise: Are they equivalent? Neurocomputing 32-33: 127-132 (2000)
23		Jianfeng Feng: Synchronization driven by correlated inputs. Neurocomputing 32-33: 371-378 (2000)
22		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)
	1999
21		Andrew P. Davison, Jianfeng Feng, David Brown: Structure of Lateral Inhibition in an Olfactory Bulb Model. IWANN (1) 1999: 189-196
20		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
19		Stuart Feerick, Jianfeng Feng, David Brown: Paradoxical Relationship between Output and Input Regularity for the FitzHugh-Nagumo Model. IWANN (1) 1999: 221-229
18		Jianfeng Feng: Integrate-and-Fire Model with Correlated Inputs. IWANN (1) 1999: 258-267
17		Jianfeng Feng: Estimating Exact Form of Generalisation Errors. IWANN (1) 1999: 413-420
16		Jianfeng Feng, David Brown: Coefficient of variation of interspike intervals greater than 0.5. How and when? Biological Cybernetics 80(5): 291-297 (1999)
15		Jianfeng Feng: Origin of firing varibility of the integrate-and-fire model. Neurocomputing 26-27: 117-122 (1999)
14		David Brown, Jianfeng Feng: Is there a problem matching real and model CV(ISI)? Neurocomputing 26-27: 87-91 (1999)
	1998
13		Jianfeng Feng, David Brown: What is observable in a class of neurodynamics? ESANN 1998: 149-154
12		Jianfeng Feng, Brunello Tirozzi, David Brown: Output jitter diverges to infinity, converges to zero or remains constant. ESANN 1998: 39-48
11		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)
10		Jianfeng Feng, David Brown: Fixed Point Attractor Analysis for a Class of Neurodynamics. Neural Computation 10(1): 189-214 (1998)
	1997
9		Jianfeng Feng, David Brown: Viewing a Class of Neurodynamics on Parameter Space. IWANN 1997: 546-555
8		Jianfeng Feng: Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics. Neural Computation 9(1): 43-49 (1997)
7		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)
6		Jianfeng Feng, Brunello Tirozzi: Convergence theorems for a class of learning algorithms with VLRPs. Neurocomputing 15(1): 45-68 (1997)
5		Jianfeng Feng, Brunello Tirozzi: A discrete version of the dynamic link network. Neurocomputing 15(2): 91-106 (1997)
	1996
4		Jianfeng Feng, David Brown: A Novel Approach for Analyzing Dynamics in Neural Networks with Saturated Characteristics. Neural Processing Letters 4(1): 9-16 (1996)
	1995
3		Jianfeng Feng, Brunello Tirozzi: An Application of the Saturated Attractor Analysis to Three Typical Models. IWANN 1995: 353-360
2		Jianfeng Feng: Establishment of topological maps - a model study. Neural Processing Letters 2(6): 9-12 (1995)
	1994
1		Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury: A Rigorous Analysis of Linsker-Type Hebbian Learning. NIPS 1994: 319-326

Coauthor Index

1	Zimbul Albo	[43]
2	Shun-ichi Amari	[50]
3	John A. D. Aston	[72]
4	Lucas D. Bowler	[58]
5	David Brown	[4] [9] [10] [11] [12] [13] [14] [16] [19] [20] [21] [22] [24] [25] [26] [28] [29] [42] [55]
6	Hilary Buxton	[37] [38] [39] [45] [47] [49]
7	Tianping Chen	[61]
8	Yonghong Chen	[43]
9	Andrew P. Davison	[21] [26]
10	Katherine J. Denby	[64]
11	Mingzhou Ding	[43] [56]
12	Simon Durrant	[48]
13	Stuart Feerick	[19] [24] [28] [29]
14	Enrico Ferraro	[44]
15	Peter Fraser	[70]
16	Benoit Gaillard	[49]
17	Tian Ge	[60] [69] [71] [74]
18	Shuixia Guo	[56] [62] [67]
19	Conor Hennessy	[70]
20	Jing Kang	[66] [70]
21	Keith M. Kendrick	[54] [60] [62]
22	Christophe Ladroue	[67]
23	KangWoo Lee	[45]
24	Gareth Leng	[55]
25	Guibin Li	[27] [36] [41]
26	Sheng Li	[46] [52]
27	Wei Lin	[70] [74]
28	Dayou Liu	[59]
29	Jiming Liu	[59] [73]
30	Wenlian Lu	[68] [69]
31	Qiang Luo	[71]
32	Françoise Moos	[55]
33	Hong Pan	[1] [7]
34	Gonzalo Viana Di Prisco	[43]
35	Govindan Rangarajan	[43]
36	Enrico Rossoni	[53] [55] [66]
37	Phill Rowcliffe	[37] [47] [57]
38	Vwani P. Roychowdhury	[1] [7]
39	Mariya Shcherbina	[51]
40	Michael Small	[65]
41	Volko A. Straub	[72]
42	Yunlian Sun	[39]
43	Brunello Tirozzi	[3] [5] [6] [12] [44] [51] [55]
44	Wilson A. Truccolo	[43]
45	Eleni Vasilaki	[38]
46	Dimitrios V. Vavoulis	[72]
47	Robert P. Vertes	[43]
48	Gang Wei	[39]
49	Peter Williams	[31] [46] [52]
50	Jianhua Wu	[54] [56]
51	Si Wu	[46] [50] [52]
52	Bing Xu	[70]
53	Bo Yang	[59] [73]
54	Ye Yao	[70]
55	Gongqiang You	[51] [61]
56	Yang Zhan	[62]
57	Jie Zhang	[65]
58	Kai Zhang	[65]
59	Ping Zhang	[35]
60	Xuejuan Zhang	[61]
61	Cong Zhou	[58]
62	Cunlu Zou	[63] [64] [67]

Colors in the list of coauthors

Last update Wed May 30 22:34:44 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page