Andy Tyrrell

Contact details

Type of addressPostal address
Postal codeYO10 5DD
CountryUnited Kingdom
Address lines
  • Electronic Engineering
    University of York
    Heslington
    York
    YO10 5DD

Phone: (01904) 322340

 https://orcid.org/0000-0002-8533-2404

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Prof. Andy Tyrrell

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  1. 2020

  2. Bootstrapping artificial evolution to design robots for autonomous fabrication

    Buchanan Berumen, E., Le Goff, L., Li, W., Hart, E., Eiben, G., De Carlo, M., Winfield, A., Hale, M., Woolley, R., Timmis, J. & Tyrrell, A., 2 Dec 2020, (Accepted/In press)

    Article in MDPI Robotics

  3. Operating Beyond FPGA Tool Limitations: Nervous Systems for Embedded Runtime Management

    Rowlings, M., Tyrrell, A. & Trefzer, M. A., Nov 2020, (Accepted/In press) DATE '21: Proceedings of the 24th Conference on Design, Automation and Test in Europe. IEEE

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  4. Evolution of Diverse, Manufacturable Robot Body Plans

    Buchanan Berumen, E., Le Goff, L., Hart, E., Eiben, G., De Carlo, M., Li, W., Hale, M., Woolley, R., Winfield, A., Timmis, J. & Tyrrell, A., 18 Sep 2020, (Accepted/In press) 2020 IEEE Symposium Series on Computational Intelligence.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  5. Hardware Design for Autonomous Robot Evolution

    Hale, M., Buchanan Berumen, E., Li, W., Woolley, R., Le Goff, L., De Carlo, M., Timmis, J., Winfield, A., Hart, E., Eiben, G. & Tyrrell, A., 18 Sep 2020, (Accepted/In press) 2020 IEEE Symposium Series on Computational Intelligence.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  6. Embedded Social Insect-Inspired Intelligence Networks for System-level Runtime Management

    Rowlings, M., Tyrrell, A. & Trefzer, M. A., 9 Mar 2020, Design, Automation and Test in Europe Conference: DATE2020. Grenoble, France

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  7. 2019

  8. Autonomous Learning Paradigm for Spiking Neural Networks

    Liu, J., McDaid, L. J., Harkin, J., Karim, S., Johnson, A. P., Halliday, D. M., Tyrrell, A. M., Timmis, J., Millard, A. G. & Hilder, J., 17 Sep 2019, p. 737-744. 8 p.

    Research output: Contribution to conference › Paper › peer-review

  9. An Amalgamation of Hormone Inspired Arbitration Systems For Application In Robot Swarms

    Wilson, J. S., Timmis, J. I. & Tyrrell, A. M., 27 Aug 2019

    Article in Applied Sciences

  10. The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World

    Hale, M., Buchanan Berumen, E., Winfield, A., Timmis, J., HART, E., Eiben, G., Li, W. & Tyrrell, A., 1 Aug 2019, International Society for Artificial Life : ALIFE2019. p. 95-102 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  11. Catalytic Self-Folding of 2D Structures through Cascading Magnet Reactions

    Southern, E. J., Besnard, V., Lahaye, B., Tyrrell, A. M. & Miyashita, S., 31 Jul 2019

    Article in Royal Society Open Science

  12. GABA Regulation of Burst Firing in Hippocampal Astrocyte Neural Circuit: A Biophysical Model

    Liu, J., McDaid, L., Araque, A., Wade, J., Harkin, J., Karim, S., Henshall, D. C., Connolly, N. M. C., Johnson, A. P., Tyrrell, A. M., Timmis, J., Millard, A. G., Hilder, J. & Halliday, D. M., 23 Jul 2019

    Article in Frontiers in Cellular Neuroscience

  13. Omni-Pi-tent: An Omnidirectional Modular Robot with Genderless Docking

    Peck, R., Timmis, J. & Tyrrell, A., 1 Jul 2019, Towards Autonomous Robotic Systems: TAROS2019. London, p. 307-318 (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  14. Evolutionary acquisition of complex traits in artificial epigenetic networks

    Turner, A., Tyrrell, A. M., Trefzer, M. A. & Lones, M., Feb 2019

    Article in Biosystems

  15. Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks

    Johnson, A. P., Liu, J., Millard, A. G., Karim, S., Tyrrell, A. M., Harkin, J., Timmis, J. I., McDaid, L. J. & Halliday, D. M., 31 Jan 2019, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  16. 2018

  17. A Novel Multi-objective Optimisation Algorithm for Routability and Timing Driven Circuit Clustering on FPGAs

    Wang, Y., Trefzer, M. A., Bale, S. J., Walker, J. A. & Tyrrell, A. M., 17 Dec 2018

    Article in IET Computers and Digital Techniques

  18. A Hormone-Inspired Arbitration System For Self Identifying Abilities Amongst A Heterogeneous Robot Swarm

    Wilson, J., Timmis, J. & Tyrrell, A., 1 Nov 2018, IEEE International Conference on Evolvable Systems. Bengaluru, India

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  19. Towards a Bioelectronic Computer: A Theoretical Study of a Multi-Layer Biomolecular Computing System That Can Process Electronic Inputs

    Dunn, K. E., Trefzer, M. A., Johnson, S. D. & Tyrrell, A. M., 4 Sep 2018

    Article in International Journal of Molecular Sciences

  20. A hormone arbitration system for energy efficient foraging in robot swarms

    Wilson, J., Timmis, J. & Tyrrell, A., 21 Jul 2018, Towards Autonomous Robotic Systems - 19th Annual Conference, TAROS 2018, Proceedings. Giannaccini, M. E., Giuliani, M. & Assaf, T. (eds.). Springer-Verlag, p. 305-316 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10965 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  21. Exploring Self Repair in a Coupled Spiking Astrocyte Neural Network

    Liu, J., McDaid, L., Harkin, J., Karim, S., Johnson, A. P., Millard, A. G., Hilder, J. A., Halliday, D. M., Tyrrell, A. M. & Timmis, J. I., 3 Jul 2018, (Accepted/In press)

    Article in IEEE Transactions on Neural Networks and Learning Systems

  22. Characterizing surface-immobilized DNA structures and devices using a quartz crystal microbalance with dissipation monitoring (QCM-D)

    Dunn, K. E., Trefzer, M. A., Johnson, S. & Tyrrell, A. M., 21 Jun 2018, DNA Nanotechnology: Methods and Protocols. Humana Press Inc., p. 101-114 14 p. (Methods in Molecular Biology; vol. 1811).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  23. FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware

    Karim, S., Harkin, J., McDaid, L., Gardiner, B., Liu, J., Halliday, D. M., Tyrrell, A. M., Timmis, J. I., Millard, A. G. & Johnson, A. P., 4 May 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 5 p. (IEEE International Conference on Circuits and Systems.).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  24. Fault-tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs

    Johnson, A. P., Liu, J., Millard, A. G., Karim, S., Tyrrell, A. M., Harkin, J., Timmis, J. I., McDaid, L. & Halliday, D. M., 29 Mar 2018, 31st International Conference on VLSI Design (VLSID 2018) & 17th International Conference on Embedded Systems (ES 2018). IEEE

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  25. Towards a bioelectronic computer: A theoretical study of a multi-layer biomolecular computing system that can process electronic inputs

    Dunn, K. E., Trefzer, M. A., Johnson, S. D. & Tyrrell, A. M., 28 Mar 2018, bioRxiv, at Cold Spring Harbor Laboratory.

    Research output: Working paper

  26. Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective

    Johnson, A. P., Liu, J., Millard, A. G., Karim, S., Tyrrell, A. M., Harkin, J., Timmis, J. I., McDaid, L. & Halliday, D. M., 1 Feb 2018

    Article in Ieee transactions on circuits and systems i-Regular papers

  27. 2017

  28. Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks

    Liu, J., McDaid, L., Harkin, J., Wade, J., Karim, S., Johnson, A. P., Millard, A. G., Halliday, D. M., Tyrrell, A. M. & Timmis, J. I., 27 Oct 2017, Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceeding, Part II. Liu, D., Xie, S., Li, Y., Zhao, D. & El-Alfy, E-SM. (eds.). Springer, (Lecture Notes in Computer Science; vol. 10634, 10635 10636, 10637, 10638, 10639).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  29. Homeostatic Fault Tolerance in Spiking Neural Networks utilizing Dynamic Partial Reconfiguration of FPGAs

    Johnson, A. P., Liu, J., Millard, A. G., Karim, S., Tyrrell, A. M., Harkin, J., Timmis, J. I., McDaid, L. & Halliday, D. M., 15 Sep 2017, (Accepted/In press) The International Conference on Field-Programmable Technology (FPT-2017). IEEE

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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