Neural Computation

Neural Computation

ISSNs: 0899-7667, 1530-888X

M I T Press, United States

Scopus rating (2019): CiteScore 6.6 SJR 1.134 SNIP 1.976

Journal

Journal Metrics

Research Output

  1. 2020
  2. Published

    A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization

    Li, X., Wang, J. & Kwong, S., Aug 2020, In : Neural Computation. 32, 8, p. 1531-1562 32 p.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  3. 2018
  4. Published

    ASIC Implementation of a Nonlinear Dynamical Model for Hippocampal Prosthesis

    Qiao, Z., Han, Y., Han, X., Xu, H., Li, W. X. Y., Song, D., Berger, T. W. & 1 others, Cheung, R. C. C., Sep 2018, In : Neural Computation. 30, 9, p. 2472-2499

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 2
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  5. A computational account of the role of cochlear nucleus and inferior colliculus in stabilizing auditory nerve firing for auditory category learning

    Higgins, I., Stringer, S. & Schnupp, J., Jul 2018, In : Neural Computation. 30, 7, p. 1801-1829

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  6. 2017
  7. Published

    Analysis of online composite mirror descent algorithm

    Lei, Y. & Zhou, D., Mar 2017, In : Neural Computation. 29, 3, p. 825-860

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 4
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  8. Published

    Multistability of delayed recurrent neural networks with mexican hat activation functions

    Liu, P., Zeng, Z. & Wang, J., 1 Feb 2017, In : Neural Computation. 29, 2, p. 423-457

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 10
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  9. 2016
  10. Published

    Online Pairwise Learning Algorithms

    Ying, Y. & Zhou, D., Apr 2016, In : Neural Computation. 28, 4, p. 743-777

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 18
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  11. 2013
  12. A Spike-Timing-Based Integrated Model for Pattern Recognition

    Hu, J., Tang, H., Tan, K. C., Li, H. & Shi, L., Feb 2013, In : Neural Computation. 25, 2, p. 450-472

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 55
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  13. 2010
  14. Published

    A novel recurrent neural network with finite-time convergence for linear programming

    Liu, Q., Cao, J. & Chen, G., Nov 2010, In : Neural Computation. 22, 11, p. 2962-2978

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 35
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  15. 2009
  16. Time-varying perturbations can distinguish among integrate-to-threshold models for perceptual decision making in reaction time tasks.

    Zhou, X., Wong-Lin, K. & Philip, H., Aug 2009, In : Neural Computation. 21, 8, p. 2336-2362

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 12
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  17. 2008
  18. A one-layer recurrent neural network with a discontinuous activation function for linear programming

    Liu, Q. & Wang, J., May 2008, In : Neural Computation. 20, 5, p. 1366-1383

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 66
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  19. 2007
  20. On the consistency of Bayesian function approximation using step functions

    Heng, L., Nov 2007, In : Neural Computation. 19, 11, p. 2871-2880

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 2
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  21. Analysis and design of associative memories based on recurrent neural networks with linear saturation activation functions and time-varying delays

    Zeng, Z. & Wang, J., Aug 2007, In : Neural Computation. 19, 8, p. 2149-2182

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 55
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  22. 2006
  23. Multiperiodicity and exponential attractivity evoked by periodic external inputs in delayed cellular neural networks

    Zeng, Z. & Wang, J., Apr 2006, In : Neural Computation. 18, 4, p. 848-870

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 101
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  24. Published

    Enhancing density-based data reduction using entropy

    Huang, D. & Chow, T. W. S., Feb 2006, In : Neural Computation. 18, 2, p. 470-495

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 15
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  25. 2005
  26. Published

    SVM soft margin classifiers: Linear programming versus quadratic programming

    Wu, Q. & Zhou, D., May 2005, In : Neural Computation. 17, 5, p. 1160-1187

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 121
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  27. Published

    Dynamical behaviors of a large class of general delayed neural networks

    Chen, T., Lu, W. & Chen, G., Apr 2005, In : Neural Computation. 17, 4, p. 949-968

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 80
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  28. Published

    On convergence conditions of an extended projection neural network

    Xia, Y. & Feng, G., Mar 2005, In : Neural Computation. 17, 3, p. 515-525

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 22
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  29. Analysis of cyclic dynamics for networks of linear threshold neurons

    Tang, H. J., Tan, K. C. & Zhang, W., Jan 2005, In : Neural Computation. 17, 1, p. 97-114

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 20
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  30. 2004
  31. Published

    A neural root finder of polynomials based on root moments

    Huang, D., Ip, H. H. S. & Chi, Z., Aug 2004, In : Neural Computation. 16, 8, p. 1721-1762

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 80
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  32. Are Loss Functions All the Same?

    Rosasco, L., De Vito, E., Caponnetto, A., Piana, M. & Verri, A., May 2004, In : Neural Computation. 16, 5, p. 1063-1076

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 151
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