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. 2021
  2. Growth Rules for the Repair of Asynchronous Irregular Neuronal Networks after Peripheral Lesions

    Sinha, A., Metzner, C., Davey, N., Adams, R., Schmuker, M. & Steuber, V., 1 Jun 2021, In: PLoS Computational Biology. 17, 6, 35 p., e1008996.

    Research output: Contribution to journalArticlepeer-review

  3. 2020
  4. Associative memory performance in peripherally-lesioned networks repaired by homeostatic structural plasticity

    Sinha, A., Metzner, C., Adams, R., Davey, N., Schmuker, M. & Steuber, V., 21 Dec 2020, In: BMC Neuroscience. 21

    Research output: Contribution to journalMeeting abstractpeer-review

  5. Development of a Gaussian Process – Feature Selection Model to Characterise (poly)dimethylsiloxane (Silastic®) Membrane Permeation

    Sun, Y., Hewitt, M., Wilkinson, S. C., Davey, N., Adams, R., Gullick, D. & Moss, G., Jul 2020, In: Journal of Pharmacy and Pharmacology. 72, 7, p. 873-888 15 p.

    Research output: Contribution to journalArticlepeer-review

  6. 2019
  7. Growth rules for repair of asynchronous irregular network models following peripheral lesions

    Sinha, A., Metzner, C., Davey, N., Adams, R., Schmuker, M. & Steuber, V., 14 Nov 2019, In: BMC Neuroscience. 20, (Supple 1), p. 157-157 1 p., 56.

    Research output: Contribution to journalMeeting abstractpeer-review

  8. Proceedings of Abstracts Engineering and Computer Science Research Conference 2019

    Coudron, L. (ed.), Nwawe, R., Grasso, M., CHEN, Y. K., Klusak, J., Rosiello, V., Counsell, N., Herfatmanesh, M. R., Partou, H., Menon, C., Barker, T., Veneziano, V., Kirner, R., Tveretina, O., Verma, A., Lane, P., Lilley, M., Canoville, P., Robinson, M., Crook, B. & 63 others, Hall, S., Kaye, R., Johnston, I., McCluskey, D., Tracey, M., Munro, I., Wang, Y., Suckow, B., Klaholz, I., Drix, D., Hafner, V. V., Schmuker, M., Sinha, A., Metzner, C., Davey, N., Adams, R., Steuber, V., Miko, R., Toffe, G., Ren, G., Montalvão, D., Ismail, S. O., Newman, J., Dhakal, H., Sunmola, F., Panday, D., Helian, N., Amafabia, D., David-West, O., Haritos, G., Schirmer, P., Mporas, I., Skaltsas, G., Siadati, R., Wernick, P., Sutton, S., Lekkala, H. R., Sayers, P., Khan, I., Cañamero, L., Hassan, E., Denai, M., Pissanidis, G., Goncharenko, J., Schilstra, M., Beka, N., te Boekhorst, R., Bonivart, A., Nehaniv, C., Kadir, S., Bhavsar, R., Sun, Y., Mayor, D., Steffert, T., CHEN, Y. K., Chrysanthou, A., Johnston, I., Kirner, R., Kourtessis, P., McCluskey, D., Polani, D., Steuber, V. & Sun, Y., 1 Sep 2019, University of Hertfordshire. 82 p.

    Research output: Book/ReportAnthology

  9. 2018
  10. 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 abstractpeer-review

  11. Estimation of microphysical parameters of atmospheric pollution using machine learning

    Llerena, C., Müller, D., Adams, R., Davey, N. & Sun, Y., 27 Sep 2018, Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I. Kurkova, V., Hammer, B., Manolopoulos, Y., Iliadis, L. & Maglogiannis, I. (eds.). Springer Verlag, p. 579-588 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11139 LNCS).

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

  12. 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 journalArticlepeer-review

  13. 2017
  14. 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 journalArticlepeer-review

  15. The efect of homeostatic structural plasticity on associative memory in a network with spike‑time dependent inhibitory synaptic plasticity

    Sinha, A., Metzner, C., Adams, R., Schmuker, M., Davey, N. & Steuber, V., 2017, In: BMC Neuroscience. 18, 1, p. P256

    Research output: Contribution to journalMeeting abstractpeer-review

  16. 2016
  17. 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 journalArticlepeer-review

  18. 2015
  19. 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 abstractpeer-review

  20. 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 abstractpeer-review

  21. 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

  22. Dendritic Morphology Predicts Pattern Recognition Performance in Multi-compartmental Model Neurons with and without Active Conductances

    De Sousa, G., Maex, R., Adams, R. G., Davey, N. & Steuber, V., 1 Apr 2015, In: Journal of Computational Neuroscience. 38, 2, p. 221-234

    Research output: Contribution to journalArticlepeer-review

  23. 2014
  24. 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 abstractpeer-review

  25. 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 journalArticlepeer-review

  26. 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

  27. 2013
  28. 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

  29. 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

  30. 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

  31. 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

  32. 2012
  33. 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 journalArticlepeer-review

  34. 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 abstractpeer-review

  35. 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

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