Jianfeng Feng

	2009
50		Cunlu Zou, Jianfeng Feng: Granger causality vs. dynamic Bayesian network inference: a comparative study. BMC Bioinformatics 10: (2009)
49		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)
	2008
48		Bo Yang, Jiming Liu, Jianfeng Feng, Dayou Liu: On Modularity of Social Network Communities: The Spectral Characterization. Web Intelligence 2008: 127-133
47		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)
46		Phill Rowcliffe, Jianfeng Feng: Training Spiking Neuronal Networks With Applications in Engineering Tasks. IEEE Transactions on Neural Networks 19(9): 1626-1640 (2008)
	2007
45		Jianhua Wu, Keith M. Kendrick, Jianfeng Feng: A novel approach to detect hot-spots in large-scale multivariate data. BMC Bioinformatics 8: (2007)
44		Enrico Rossoni, Jianfeng Feng: Decoding spike train ensembles: tracking a moving stimulus. Biological Cybernetics 96(1): 99-112 (2007)
43		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)
	2006
42		Si Wu, Jianfeng Feng, Shun-ichi Amari: The Ideal Noisy Environment for Fast Neural Computation. ISNN (1) 2006: 1-6
41		Benoit Gaillard, Hilary Buxton, Jianfeng Feng: Population approach to a neural discrimination task. Biological Cybernetics 94(3): 180-191 (2006)
40		Simon Durrant, Jianfeng Feng: Negatively correlated firing: the functional meaning of lateral inhibition within cortical columns. Biological Cybernetics 95(5): 431-453 (2006)
39		Phill Rowcliffe, Jianfeng Feng, Hilary Buxton: Spiking perceptrons. IEEE Transactions on Neural Networks 17(3): 803-807 (2006)
	2005
38		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
	2004
37		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)
36		Jianfeng Feng, David Brown: Decoding Input Signals in Time Domain - A Model Approach. Journal of Computational Neuroscience 16(3): 237-249 (2004)
35		Guibin Li, Jianfeng Feng: Stimulus-evoked synchronization in neuronal models. Neurocomputing 58-60: 203-208 (2004)
	2003
34		Jianfeng Feng: The Minimum-Variance Theory Revisited. IWANN (1) 2003: 62-69
	2002
33		Phill Rowcliffe, Jianfeng Feng, Hilary Buxton: Clustering within Integrate-and-Fire Neurons for Image Segmentation. ICANN 2002: 69-74
32		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)
31		Ping Zhang, Jianfeng Feng: Ideal observer of single neuron activity. Neurocomputing 44-46: 243-247 (2002)
30		Jianfeng Feng: Training neuron models with the Informax principle. Neurocomputing 44-46: 97-101 (2002)
	2001
29		Jianfeng Feng: Non-symmetric Support Vector Machines. IWANN (1) 2001: 418-426
28		Jianfeng Feng: Neuronal Models with Current Inputs. IWANN (1) 2001: 47-54
27		Jianfeng Feng: Is the integrate-and-fire model good enough?--a review. Neural Networks 14(6-7): 955-975 (2001)
26		David Brown, Stuart Feerick, Jianfeng Feng: Significance of random neuronal drive. Neurocomputing 38-40: 111-119 (2001)
25		Stuart Feerick, Jianfeng Feng, David Brown: Inhibitory inputs increase a neurons's firing rate. Neurocomputing 38-40: 197-203 (2001)
24		Jianfeng Feng, Guibin Li: Behaviour of two-compartment models. Neurocomputing 38-40: 205-211 (2001)
23		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
22		Jianfeng Feng, David Brown: Impact of Correlated Inputs on the Output of the Integrate-and-Fire Model. Neural Computation 12(3): 671-692 (2000)
21		Stuart Feerick, Jianfeng Feng, David Brown: Random pulse input versus continuous current plus white noise: Are they equivalent? Neurocomputing 32-33: 127-132 (2000)
20		Jianfeng Feng: Synchronization driven by correlated inputs. Neurocomputing 32-33: 371-378 (2000)
19		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
18		Andrew P. Davison, Jianfeng Feng, David Brown: Structure of Lateral Inhibition in an Olfactory Bulb Model. IWANN (1) 1999: 189-196
17		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
16		Stuart Feerick, Jianfeng Feng, David Brown: Paradoxical Relationship between Output and Input Regularity for the FitzHugh-Nagumo Model. IWANN (1) 1999: 221-229
15		Jianfeng Feng: Integrate-and-Fire Model with Correlated Inputs. IWANN (1) 1999: 258-267
14		Jianfeng Feng: Estimating Exact Form of Generalisation Errors. IWANN (1) 1999: 413-420
13		Jianfeng Feng: Origin of firing varibility of the integrate-and-fire model. Neurocomputing 26-27: 117-122 (1999)
12		David Brown, Jianfeng Feng: Is there a problem matching real and model CV(ISI)? Neurocomputing 26-27: 87-91 (1999)
	1998
11		Jianfeng Feng, David Brown: What is observable in a class of neurodynamics? ESANN 1998: 149-154
10		Jianfeng Feng, Brunello Tirozzi, David Brown: Output jitter diverges to infinity, converges to zero or remains constant. ESANN 1998: 39-48
9		Jianfeng Feng, David Brown: Fixed Point Attractor Analysis for a Class of Neurodynamics. Neural Computation 10(1): 189-214 (1998)
	1997
8		Jianfeng Feng, David Brown: Viewing a Class of Neurodynamics on Parameter Space. IWANN 1997: 546-555
7		Jianfeng Feng: Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics. Neural Computation 9(1): 43-49 (1997)
6		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)
5		Jianfeng Feng, Brunello Tirozzi: Convergence theorems for a class of learning algorithms with VLRPs. Neurocomputing 15(1): 45-68 (1997)
4		Jianfeng Feng, Brunello Tirozzi: A discrete version of the dynamic link network. Neurocomputing 15(2): 91-106 (1997)
	1996
3		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
2		Jianfeng Feng, Brunello Tirozzi: An Application of the Saturated Attractor Analysis to Three Typical Models. IWANN 1995: 353-360
	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	[37]
2	Shun-ichi Amari	[42]
3	Lucas D. Bowler	[47]
4	David Brown	[3] [8] [9] [10] [11] [12] [16] [17] [18] [19] [21] [22] [23] [25] [26] [36]
5	Hilary Buxton	[33] [39] [41]
6	Tianping Chen	[49]
7	Yonghong Chen	[37]
8	Andrew P. Davison	[18] [23]
9	Mingzhou Ding	[37]
10	Simon Durrant	[40]
11	Stuart Feerick	[16] [21] [25] [26]
12	Benoit Gaillard	[41]
13	Keith M. Kendrick	[45]
14	Guibin Li	[24] [32] [35]
15	Sheng Li	[38] [43]
16	Dayou Liu	[48]
17	Jiming Liu	[48]
18	Hong Pan	[1] [6]
19	Gonzalo Viana Di Prisco	[37]
20	Govindan Rangarajan	[37]
21	Enrico Rossoni	[44]
22	Phill Rowcliffe	[33] [39] [46]
23	Vwani P. Roychowdhury	[1] [6]
24	Brunello Tirozzi	[2] [4] [5] [10]
25	Wilson A. Truccolo	[37]
26	Robert P. Vertes	[37]
27	Peter Williams	[38] [43]
28	Jianhua Wu	[45]
29	Si Wu	[38] [42] [43]
30	Bo Yang	[48]
31	Gongqiang You	[49]
32	Ping Zhang	[31]
33	Xuejuan Zhang	[49]
34	Cong Zhou	[47]
35	Cunlu Zou	[50]

Colors in the list of coauthors