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2021

Conference Publication

Conduction delay plasticity can robustly learn spatiotemporal patterns embedded in noise

Arnold, Joshua, Stratton, Peter and Wiles, Janet (2021). Conduction delay plasticity can robustly learn spatiotemporal patterns embedded in noise. 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, 18-22 July 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN52387.2021.9533934

Conduction delay plasticity can robustly learn spatiotemporal patterns embedded in noise

2021

Conference Publication

Single neurons with delay-based learning can generalise between time-warped patterns

Arnold, Joshua, Stratton, Peter and Wiles, Janet (2021). Single neurons with delay-based learning can generalise between time-warped patterns. International Conference on Artificial Neural Networks, Bratislava, Slovakia, 14-17 September 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-86380-7_11

Single neurons with delay-based learning can generalise between time-warped patterns

2018

Conference Publication

Building speech recognition systems for language documentation: the CoEDL Endangered Language Pipeline and Inference System (ELPIS)

Foley, Ben, Arnold, Josh, Coto-Solano, Rolando, Durantin, Gautier, Ellison, T. Mark, van Esch, Daan, Heath, Scott, Kratochvíl, František, Maxwell-Smith, Zara, Nash, David, Olsson, Ola, Richards, Mark, San, Nay, Stoakes, Hywel, Thieberger, Nick and Wiles, Janet (2018). Building speech recognition systems for language documentation: the CoEDL Endangered Language Pipeline and Inference System (ELPIS). SLTU 2018: 6th Workshop on Spoken Language Technologies for Under-resourced Languages, Gurugram, India, 29-31 August 2018. Baxias, France: International Speech Communication Association. doi: 10.21437/sltu.2018-43

Building speech recognition systems for language documentation: the CoEDL Endangered Language Pipeline and Inference System (ELPIS)

2018

Conference Publication

PiRat: an autonomous framework for studying social behaviour in rats and robots

Heath, Scott, Ramirez-Brinez, Carlos Andres, Arnold, Joshua, Olsson, Ola, Taufatofua, Jonathon, Pounds, Pauline, Wiles, Janet, Leonardis, Eric, Gygi, Emanuel, Leija, Estelita, Quinn, Laleh K. and Chiba, Andrea A. (2018). PiRat: an autonomous framework for studying social behaviour in rats and robots. 25th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 1-5 October 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IROS.2018.8594060

PiRat: an autonomous framework for studying social behaviour in rats and robots

2014

Conference Publication

Event-based visual data sets for prediction tasks in spiking neural networks

Gibson, Tingting (Amy), Heath, Scott, Quinn, Robert P., Lee, Alexia H., Arnold, Joshua T., Sonti, Tharun S., Whalley, Andrew, Shannon, George P., Song, Brian T., Henderson, James A. and Wiles, Janet (2014). Event-based visual data sets for prediction tasks in spiking neural networks. 24th International Conference on Artificial Neural Networks, ICANN 2014, Hamburg, Germany, 15 - 19 September 2014. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-11179-7_80

Event-based visual data sets for prediction tasks in spiking neural networks