| SpiNNaker: A 1-W 18-core system-on-chip for massively-parallel neural network simulation E Painkras, LA Plana, J Garside, S Temple, F Galluppi, C Patterson, ... IEEE Journal of Solid-State Circuits 48 (8), 1943-1953, 2013 | 593 | 2013 |
| Power analysis of large-scale, real-time neural networks on SpiNNaker E Stromatias, F Galluppi, C Patterson, S Furber The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013 | 106 | 2013 |
| Spinnaker: A multi-core system-on-chip for massively-parallel neural net simulation E Painkras, LA Plana, J Garside, S Temple, S Davidson, J Pepper, ... Proceedings of the IEEE 2012 Custom Integrated Circuits Conference, 1-4, 2012 | 92 | 2012 |
| Scalable event-driven native parallel processing: the SpiNNaker neuromimetic system AD Rast, X Jin, F Galluppi, LA Plana, C Patterson, S Furber Proceedings of the 7th ACM international conference on Computing frontiers …, 2010 | 56 | 2010 |
| Concurrent heterogeneous neural model simulation on real-time neuromimetic hardware A Rast, F Galluppi, S Davies, L Plana, C Patterson, T Sharp, D Lester, ... Neural Networks 24 (9), 961-978, 2011 | 41 | 2011 |
| Algorithm and software for simulation of spiking neural networks on the multi-chip SpiNNaker system X Jin, F Galluppi, C Patterson, A Rast, S Davies, S Temple, S Furber The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 36 | 2010 |
| Interfacing real-time spiking I/O with the SpiNNaker neuromimetic architecture S Davies, C Patterson, F Galluppi, A Rast, D Lester, SB Furber Proceedings of the 17th International Conference on Neural Information …, 2010 | 25 | 2010 |
| Scalable communications for a million-core neural processing architecture C Patterson, J Garside, E Painkras, S Temple, LA Plana, J Navaridas, ... Journal of Parallel and Distributed Computing, 2012 | 23 | 2012 |
| SpiNNaker: Fault tolerance in a power-and area-constrained large-scale neuromimetic architecture J Navaridas, S Furber, J Garside, X Jin, M Khan, D Lester, M Luján, ... Parallel Computing 39 (11), 693-708, 2013 | 21 | 2013 |
| Engineering a thalamo-cortico-thalamic circuit on SpiNNaker: a preliminary study toward modeling sleep and wakefulness BS Bhattacharya, C Patterson, F Galluppi, SJ Durrant, S Furber Frontiers in neural circuits 8, 46, 2014 | 19 | 2014 |
| Event-driven configuration of a neural network CMP system over an homogeneous interconnect fabric MM Khan, AD Rast, J Navaridas, X Jin, LA Plana, M Luján, S Temple, ... Parallel Computing 37 (8), 392-409, 2011 | 19 | 2011 |
| Distributed configuration of massively-parallel simulation on SpiNNaker neuromorphic hardware T Sharp, C Patterson, S Furber The 2011 International Joint Conference on Neural Networks, 1099-1105, 2011 | 19 | 2011 |
| Towards real-world neurorobotics: Integrated neuromorphic visual attention SV Adams, AD Rast, C Patterson, F Galluppi, K Brohan, ... Neural Information Processing: 21st International Conference, ICONIP 2014 …, 2014 | 16 | 2014 |
| Managing burstiness and scalability in event-driven models on the SpiNNaker neuromimetic system AD Rast, J Navaridas, X Jin, F Galluppi, LA Plana, J Miguel-Alonso, ... International Journal of Parallel Programming 40, 553-582, 2012 | 11 | 2012 |
| Managing a real-time massively-parallel neural architecture JC Patterson University of Manchester, 2012 | 7 | 2012 |
| Modeling populations of spiking neurons for fine timing sound localization Q Liu, C Patterson, S Furber, Z Huang, Y Hou, H Zhang The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 6 | 2013 |
| Visualising large-scale neural network models in real-time C Patterson, F Galluppi, A Rast, S Furber The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012 | 5 | 2012 |
| Anonymisation in social research A Coffey, J Heley, R Mann, C Patterson, A Plows, S Tannock, M Woods WISERD Methods Briefing Series, 2012 | 5 | 2012 |
| Optimising the overall power usage on the SpiNNaker neuromimetic platform E Stromatias, C Patterson, S Furber 2014 International Joint Conference on Neural Networks (IJCNN), 4280-4287, 2014 | 3 | 2014 |
| Stringent response and phosphorylations of PHB synthase and PHB depolymerase influence the PHB content of Ralstonia eutropha H16 JR Jüngert, JR Juengert, M Borisova, C Mayer, C Wolz, CJ Brigham, ... Applied and Environmental Microbiology 83 (13), e00755-17, 2018 | 1 | 2018 |
Steve FurberProfessor Emeritus, Department of Computer Science, The University of Manchester, UKВерификована је имејл адреса на manchester.ac.uk
