University of Hertfordshire

Professor Roderick Adams

Professor

Professor Roderick Adams

Professor

Postal address:
School of Computer Science
University of Hertfordshire
Al10 9AB
United Kingdom

Publications

  1. 2018
  2. The combined effect of homeostatic structural and inhibitory synaptic plasticity during the repair of balanced networks following deafferentation

    Sinha, A., Metzner, C., Adams, R., Davey, N., Schmuker, M. & Steuber, V., 29 Oct 2018, In : BMC Neuroscience. 19, suppl 2, p. 129-130 2 p., P264.

    Research output: Contribution to journalMeeting abstract

  3. Model fitting for small skin permeability data sets: hyperparameter optimisation in Gaussian Process Regression

    Ashrafi, P., Sun, Y., Davey, N., Adams, R., Wilkinson, S. C. & Moss, G. P., 14 Feb 2018, In : Journal of Pharmacy and Pharmacology. 70, 3, p. 361-373 13 p.

    Research output: Contribution to journalArticle

  4. 2017
  5. Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise

    Safaryan, K., Maex, R., Davey, N., Adams, R. & Steuber, V., 20 Apr 2017, In : Scientific Reports. 7, 14 p., 46550 .

    Research output: Contribution to journalArticle

  6. 2016
  7. Support vector regression to estimate the permeability enhancement of potential transdermal enhancers

    Shah, A., Sun, Y., Adams, R., Davey, N., Wilkinson, S. C. & Moss, G. P. J., 16 Feb 2016, In : Journal of Pharmacy and Pharmacology. 68, 2, p. 170-184 15 p.

    Research output: Contribution to journalArticle

  8. 2015
  9. Structural plasticity and associative memory in balanced neural networks with spike-time dependent inhibitory plasticity

    Sinha, A., Davey, N., Adams, R. & Steuber, V., 18 Dec 2015, In : BMC Neuroscience. 16

    Research output: Contribution to journalMeeting abstract

  10. Optimization of input parameters to a CN neuron model to simulate its activity during and between epileptic absence seizures

    Alva, P., Kros, L., Eelkman Rooda, O., De Zeeuw, C. I., Adams, R., Davey, N., Hoebeek, F. E. & Steuber, V., 4 Dec 2015, In : BMC Neuroscience. 16

    Research output: Contribution to journalMeeting abstract

  11. The importance of hyperparameters selection within small datasets

    Ashrafi, P., Sun, Y., Davey, N., Adams, R., Brown, M., Prapopoulou, M. & Moss, G., 1 Oct 2015, 2015 International Joint Conference on Neural Networks (IJCNN). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  12. 2014
  13. Combining machine learning and simulations of a morphologically realistic model to study modulation of neuronal activity in cerebellar nuclei

    Alva, P., Kroos, L., Eelkman Rooda, O., De Zeeuw, C. I., Adams, R. G., Davey, N., Hoebeek, F. E. & Steuber, V., 21 Jul 2014, In : BMC Neuroscience. 15, Supp 1, P39.

    Research output: Contribution to journalMeeting abstract

  14. Entry in progress

    Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions

    Rezwan, F., Davey, N., Sun, Y. & Adams, R., 2014, (In preparation) In : Applied Soft Computing.

    Research output: Contribution to journalArticle

  15. Synaptic plasticity and pattern recognition in cerebellar Purkinje cells

    De Sousa, G., Maex, R., Adams, R., Davey, N. & Steuber, V., 2014, The Computing Dendrite. Torben-Nielsen, B., Remme, M. & Cuntz, H. (eds.). Springer, p. 433-448 (Springer Series in Computational Neuroscience; vol. 11).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  16. 2013
  17. A potential role for the cerebellar nuclei in absence seizures

    Alva, P., Kroos, L., Maex, R., De Zeeuw, C. I., Adams, R. G., Davey, N., Steuber, V. & Hoebeek, F. E., 2013, In : BMC Neuroscience. 14, Supp 1, 2 p., P170.

    Research output: Contribution to journalMeeting abstract

  18. Characterising the performance of balanced memory networks

    Metaxas, A., Maex, R., Adams, R. G., Steuber, V. & Davey, N., 2013, In : BMC Neuroscience. 14, Supp 1, 1 p., P88.

    Research output: Contribution to journalMeeting abstract

  19. Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping

    Alva, P., De Sousa, G., Torben-Nielsen, B., Maex, R., Adams, R., Davey, N. & Steuber, V., 2013, Artificial Neural Networks and Machine Learning: ICANN 2013. Springer, p. 319-326 (Lecture Notes in Computer Science; vol. 8131).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  20. Linear Support Vector Machines for Error Correction in Optical Data Transmission

    Metaxas, A., Redyuk, A., Sun, Y., Shafarenko, A., Davey, N. & Adams, R., 2013, ICANNGA 2013, Procs 11th Int Conf. Springer, p. 438-445 (Lecture Notes in Computer Science; vol. 7824).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  21. 2012
  22. The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancers

    Moss, G., Shah, A. J., Adams, R. G., Davey, N., Sun, Y., Wilkinson, S. C. & Pugh, W. J., 23 Jan 2012, In : European Journal of Pharmaceutical Sciences. 45, 1-2, p. 116-127 12 p.

    Research output: Contribution to journalArticle

  23. Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes

    Metaxas, A., Maex, R., Adams, R. G., Steuber, V. & Davey, N., 2012, In : BMC Neuroscience. 13, Supp 1, 1 p., P156.

    Research output: Contribution to journalMeeting abstract

  24. Evolving dendritic morphology and parameters in biologically realistic model neurons for pattern recognition

    De Sousa, G., Maex, R., Adams, R., Davey, N. & Steuber, V., 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, Vol. 7552 LNCS. p. 355-362 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  25. The effect of different types of synaptic plasticity on the performance of associative memory networks with excitatory and inhibitory sub-populations

    Metaxas, A., Maex, R., Steuber, V., Adams, R. & Davey, N., 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, Vol. 7223 LNCS. p. 136-142 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  26. 2011
  27. The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes

    Moss, G., Sun, Y., Wilkinson, S. C., Davey, N., Adams, R., Martin, G. P., Prapopopolou, M. & Brown, M., Nov 2011, In : Journal of Pharmacy and Pharmacology. 63, 11, p. 1411-1427 17 p.

    Research output: Contribution to journalArticle

  28. The application of stochastic machine learning methods in the prediction of skin penetration

    Sun, Y., Brown, M., Prapopoulou, M., Davey, N., Adams, R. G. & Moss, G. P., Mar 2011, In : Applied Soft Computing. 11, 2, p. 2367-2375 9 p.

    Research output: Contribution to journalArticle

  29. Clustering predicts memory performance in networks of spiking and non-spiking neurons

    Chen, W., Maex, R., Adams, R. G., Steuber, V., Calcraft, L. & Davey, N., 2011, In : Frontiers in Computational Neuroscience. 5, 14.

    Research output: Contribution to journalArticle

  30. Effect of using varying negative examples in transcription factor binding site predictions

    Rezwan, F., Sun, Y., Davey, N., Adams, R., Rust, A. G. & Robinson, M., 2011, In : Lecture Notes in Computer Science. 6623, p. 1-12

    Research output: Contribution to journalArticle

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