Neural Computation

Neural Computation

ISSNs: 0899-7667, 1530-888X

M I T Press, United States

Scopus rating (2022): CiteScore 9.3 SJR 1.544 SNIP 3.294

Journal

Journal Metrics
1 - 20 out of 34Page size: 20

Research Output

  1. 2023
  2. Published

    Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks

    Huang, S., Zhou, J., Feng, H. & Zhou, D., Jun 2023, In: Neural Computation. 35, 6, p. 1135-1158

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

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  3. Published

    Dynamic Consolidation for Continual Learning

    Li, H., Ma, C., Chen, X. & Liu, X., Feb 2023, In: Neural Computation. 35, 2, p. 228-248

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

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  4. 2020
  5. 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 › peer-review

    Scopus citations: 10
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  6. 2018
  7. 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 othersCheung, R. C. C., Sept 2018, In: Neural Computation. 30, 9, p. 2472-2499

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

    Scopus citations: 2
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  8. 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 › peer-review

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  9. Spiking neural classifier with lumped dendritic nonlinearity and binary synapses: A current mode VLSI implementation and analysis

    Bhaduri, A., Banerjee, A., Roy, S., Kar, S. & Basu, A., 1 Mar 2018, In: Neural Computation. 30, 3, p. 723-760

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

    Scopus citations: 11
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  10. 2017
  11. 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 › peer-review

    Scopus citations: 7
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  12. 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 › peer-review

    Scopus citations: 22
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  13. 2016

  14. An online structural plasticity rule for generating better reservoirs

    Roy, S. & Basu, A., 1 Nov 2016, In: Neural Computation. 28, 11, p. 2557-2584

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

    Scopus citations: 11
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  15. 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 › peer-review

    Scopus citations: 41
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  16. 2015

  17. Hardware-Amenable structural learning for spike-based pattern classification using a simple model of active dendrites

    Hussain, S., Liu, S. & Basu, A., 19 Apr 2015, In: Neural Computation. 27, 4, p. 845-897

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

    Scopus citations: 6
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  18. Spontaneous motion on two-dimensional continuous attractors

    Fung, C. C. A. & Amari, S. I., 26 Mar 2015, In: Neural Computation. 27, 3, p. 507-547

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

    Scopus citations: 5
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  19. 2013

  20. 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 › peer-review

    Scopus citations: 67
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  21. 2012

  22. Dynamical synapses enhance neural information processing: Gracefulness, accuracy, and mobility

    Fung, C. C. A., Michaelwong, K. Y., Wang, H. & Siwu, S., 2012, In: Neural Computation. 24, 5, p. 1147-1185

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

    Scopus citations: 11
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  23. 2010
  24. 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 › peer-review

    Scopus citations: 42
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  25. A moving bump in a continuous manifold: A comprehensive study of the tracking dynamics of continuous attractor neural networks

    Fung, C. C. A., Wong, K. Y. M. & Wu, S., Mar 2010, In: Neural Computation. 22, 3, p. 752-792

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

    Scopus citations: 39
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  26. 2009

  27. 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 › peer-review

    Scopus citations: 14
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  28. 2008

  29. 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 › peer-review

    Scopus citations: 81
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  30. 2007

  31. 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 › peer-review

    Scopus citations: 2
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  32. 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 › peer-review

    Scopus citations: 62
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