On the application of neural networks to symbol systems. - Simon Davidson (1999)

SpiNNaker: Design and Implementation of a GALS Multicore System-on-Chip. - Luis A. Plana; David M. Clark; Simon Davidson; Steve B. Furber; Jim D. Garside; Eustace Painkras; Jeffrey Pepper; Steve Temple; John Bainbridge (ACM J. Emerg. Technol. Comput. Syst., 2011)

Large-Scale On-Chip Dynamic Programming Network Inferences Using Moderated Inter-core Communication. - Andrew Mundy; Terrence S. T. Mak; Alex Yakovlev; Simon Davidson; Steve B. Furber (ACSD, 2012)

SpiNNaker: A multi-core System-on-Chip for massively-parallel neural net simulation. - Eustace Painkras; Luis A. Plana; Jim D. Garside; Steve Temple; Simon Davidson; Jeffrey Pepper; David M. Clark; Cameron Patterson; Steve B. Furber (CICC, 2012)

A Real-Time, Event-Driven Neuromorphic System for Goal-Directed Attentional Selection. - Francesco Galluppi; Kevin Brohan; Simon Davidson; Teresa Serrano-Gotarredona; José Antonio Pérez-Carrasco; Bernabé Linares-Barranco; Steve B. Furber (ICONIP (2), 2012)

High performance computing on SpiNNaker neuromorphic platform: A case study for energy efficient image processing. - Indar Sugiarto; Gengting Liu; Simon Davidson; Luis A. Plana; Steve B. Furber (IPCCC, 2016)

Parallel distribution of an inner hair cell and auditory nerve model for real-time application. - Robert James; Jim D. Garside; Michael Hopkins; Luis A. Plana; Steve Temple; Simon Davidson; Steve B. Furber (BioCAS, 2017)

Live demonstration: Dynamic voltage and frequency scaling for neuromorphic many-core systems. - Sebastian Höppner; Yexin Yan; Bernhard Vogginger; Andreas Dixius; Johannes Partzsch; Prateek Joshi; Felix Neumärker; Stephan Hartmann 002; Stefan Schiefer; Stefan Scholze; Georg Ellguth; Love Cederstroem; et al. (ISCAS, 2017)

Dynamic voltage and frequency scaling for neuromorphic many-core systems. - Sebastian Höppner; Yexin Yan; Bernhard Vogginger; Andreas Dixius; Johannes Partzsch; Felix Neumärker; Stephan Hartmann 002; Stefan Schiefer; Stefan Scholze; Georg Ellguth; Love Cederstroem; Matthias Eberlein; et al. (ISCAS, 2017)

Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach. - Juan Pedro Dominguez-Morales; Qian Liu 005; Robert James; Daniel Gutierrez-Galan; Angel Jiménez-Fernandez; Simon Davidson; Steve B. Furber (IJCNN, 2018)

SpiNNTools: The Execution Engine for the SpiNNaker Platform. - Andrew G. D. Rowley; Christian Y. A. Brenninkmeijer; Simon Davidson; Donal Fellows; Andrew Gait; David R. Lester; Luis A. Plana; Oliver Rhodes; Alan B. Stokes; Steve B. Furber (CoRR, 2018)

Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach. - Alexander D. Rast; Samantha V. Adams; Simon Davidson; Sergio Davies; Michael Hopkins; Andrew Rowley; Alan Barry Stokes; Thomas Wennekers; Steve B. Furber; Angelo Cangelosi (IEEE Trans. Neural Networks Learn. Syst., 2018)

spiNNlink: FPGA-Based Interconnect for the Million-Core SpiNNaker System. - Luis A. Plana; Jim D. Garside; Jonathan Heathcote; Jeffrey Pepper; Steve Temple; Simon Davidson; Mikel Luján; Steve B. Furber (IEEE Access, 2020)

Spiking Associative Memory for Spatio-Temporal Patterns. - Simon Davidson; Stephen B. Furber; Oliver Rhodes (CoRR, 2020)

CONVOLVE: Smart and seamless design of smart edge processors. - Manil Dev Gomony; Floran de Putter; Anteneh Gebregiorgis; Gianna Paulin; Linyan Mei; Vikram Jain; Said Hamdioui; Victor Sanchez; Tobias Grosser; Marc Geilen; Marian Verhelst; Frank K. Zenke; et al. (CoRR, 2022)

PetaOps/W edge-AI $ mu$ Processors: Myth or reality? - Manil Dev Gomony; Floran de Putter; Anteneh Gebregiorgis; Gianna Paulin; Linyan Mei; Vikram Jain; Said Hamdioui; Victor Sanchez; Tobias Grosser; Marc Geilen; Marian Verhelst; Friedemann Zenke; et al. (DATE, 2023)