University of Hertfordshire

Neurocomputing

ISSNs: 0925-2312

Elsevier

Scopus (2021), Scopus (2021), Scopus (2021), Scopus rating (2021): CiteScore 8

Journal

  1. 2020
  2. Synchronization of inertial memristive neural networks with time-varying delays via static or dynamic event-triggered control

    Yao, W., Wang, C., Sun, Y., Zhou, C. & Lin, H., 3 Sep 2020, In: Neurocomputing. 404, p. 367-380 14 p.

    Research output: Contribution to journalArticlepeer-review

  3. Weighted Sum Synchronization of Memristive Coupled Neural Networks

    Zhou, C., Wang, C., Sun, Y. & Yao, W., 25 Aug 2020, In: Neurocomputing. 403, p. 211-223 13 p.

    Research output: Contribution to journalArticlepeer-review

  4. 2019
  5. Hybrid multisynchronization of coupled multistable memristive neural networks with time delays

    Yao, W., Wang, C., Cao, J., Sun, Y. & Zhou, C., 21 Oct 2019, In: Neurocomputing. 363, p. 281-294 14 p.

    Research output: Contribution to journalArticlepeer-review

  6. 2016
  7. Applying subclustering and Lp distance in Weighted K-Means with distributed centroids

    Cordeiro De Amorim, R. & Makarenkov, V., 15 Jan 2016, In: Neurocomputing. 173, 3, p. 700-707

    Research output: Contribution to journalArticlepeer-review

  8. Improving classification of epileptic and non-epileptic EEG events by feature selection

    Mporas, I., Pippa, E., Zacharaki, E. I., Tsirka, V., Richardson, M. P., Koutroumanidis, M. & Megalooikonomou, V., 1 Jan 2016, In: Neurocomputing. 171, p. 576-585

    Research output: Contribution to journalArticlepeer-review

  9. 2015
  10. Classifying tree structures using elastic matching of sequence encodings

    Mporas, I., 2 Sep 2015, In: Neurocomputing. 163, p. 151-159 9 p.

    Research output: Contribution to journalArticlepeer-review

  11. 2009
  12. Using a genetic algorithm to investigate efficient connectivity in associative memories

    Adams, R. G., Calcraft, L. & Davey, N., 2009, In: Neurocomputing. 72, 4-6, p. 732-742

    Research output: Contribution to journalArticlepeer-review

  13. 2004
  14. High Capacity Recurrent Associative Memories

    Davey, N., Hunt, S. & Adams, R. G., Dec 2004, In: Neurocomputing. 62, p. 459-491

    Research output: Contribution to journalArticlepeer-review

  15. Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors

    Steuber, V., De Schutter, E. & Jaeger, D., Jun 2004, In: Neurocomputing. 58-60, p. 563-568 6 p.

    Research output: Contribution to journalArticlepeer-review

  16. 2003
  17. Novelty detection in a Kohonen-like network with a long-term depression learning rule

    Theofilou, D., Steuber, V. & De Schutter, E., Jun 2003, In: Neurocomputing. 52-4, p. 411-417 7 p.

    Research output: Contribution to journalArticlepeer-review

  18. 2002
  19. Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model

    Steuber, V. & De Schutter, E., Jun 2002, In: Neurocomputing. 44, p. 183-188 6 p.

    Research output: Contribution to journalArticlepeer-review

  20. The Recognition and Analysis of Animate Objects using Neural Networks and Active Contour Models

    Tabb, K., Davey, N., Adams, R. G. & George, S., Mar 2002, In: Neurocomputing. 43, p. 145-172

    Research output: Contribution to journalArticlepeer-review

  21. A Finite State Automation Model for Multi-Neuron Simulations

    Schilstra, M., Rust, A. G., Adams, R. G. & Bolouri, H., 2002, In: Neurocomputing. 44, p. 1141-1148

    Research output: Contribution to journalArticlepeer-review

  22. 2001
  23. Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell

    Steuber, V. & De Schutter, E., Jun 2001, In: Neurocomputing. 38-40, p. 383-388 6 p.

    Research output: Contribution to journalArticlepeer-review

  24. 1999
  25. Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns

    Steuber, V. & Willshaw, D. J., Jun 1999, In: Neurocomputing. 26-27, p. 271-276 6 p.

    Research output: Contribution to journalArticlepeer-review