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Evangelos Stromatias
Evangelos Stromatias
Senior Machine Learning Engineer at Frontiers
在 frontiersin.org 的电子邮件经过验证
标题
引用次数
引用次数
年份
An event-driven classifier for spiking neural networks fed with synthetic or dynamic vision sensor data
E Stromatias, M Soto, T Serrano-Gotarredona, B Linares-Barranco
Frontiers in neuroscience 11, 269013, 2017
1432017
Robustness of spiking deep belief networks to noise and reduced bit precision of neuro-inspired hardware platforms
E Stromatias, D Neil, M Pfeiffer, F Galluppi, SB Furber, SC Liu
Frontiers in neuroscience 9, 141542, 2015
1382015
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
1042013
Scalable energy-efficient, low-latency implementations of trained spiking deep belief networks on spinnaker
E Stromatias, D Neil, F Galluppi, M Pfeiffer, SC Liu, S Furber
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
1022015
A framework for plasticity implementation on the SpiNNaker neural architecture
F Galluppi, X Lagorce, E Stromatias, M Pfeiffer, LA Plana, SB Furber, ...
Frontiers in neuroscience 8, 107917, 2015
672015
On practical issues for stochastic STDP hardware with 1-bit synaptic weights
A Yousefzadeh, E Stromatias, M Soto, T Serrano-Gotarredona, ...
Frontiers in neuroscience 12, 338032, 2018
662018
Benchmarking spike-based visual recognition: a dataset and evaluation
Q Liu, G Pineda-García, E Stromatias, T Serrano-Gotarredona, SB Furber
Frontiers in neuroscience 10, 193303, 2016
392016
Breaking the millisecond barrier on SpiNNaker: implementing asynchronous event-based plastic models with microsecond resolution
X Lagorce, E Stromatias, F Galluppi, LA Plana, SC Liu, SB Furber, ...
Frontiers in neuroscience 9, 144682, 2015
332015
Hybrid neural network, an efficient low-power digital hardware implementation of event-based artificial neural network
A Yousefzadeh, G Orchard, E Stromatias, T Serrano-Gotarredona, ...
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
172018
Supervised learning in spiking neural networks with limited precision: Snn/lp
E Stromatias, JS Marsland
2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015
152015
Live demonstration: handwritten digit recognition using spiking deep belief networks on SpiNNaker
E Stromatias, D Neil, F Galluppi, M Pfeiffer, SC Liu, S Furber
2015 IEEE International Symposium on Circuits and Systems (ISCAS), 1901-1901, 2015
122015
The 2013 International Joint Conference on Neural Networks (IJCNN)
E Stromatias, D Neil, F Galluppi, M Pfeiffer, SC Liu, S Furber
122013
Developing a supervised training algorithm for limited precision feed-forward spiking neural networks
E Stromatias
arXiv preprint arXiv:1109.2788, 2011
122011
Scalability and robustness of artificial neural networks
E Stromatias
PQDT-UK & Ireland, 2016
62016
Neuron circuit, system, and method with synapse weight learning
B Linares-barranco, A Yousefzadeh, E Stromatias, T Serrano-gotarredona
US Patent 11,301,753, 2022
42022
An event-based classifier for dynamic vision sensor and synthetic data
E Stromatias, M Soto, MT Serrano Gotarredona, B Linares Barranco
Frontiers in Neuroscience, 11 (artículo 360), 2017
32017
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
22014
State-of-the-art deep learning has a carbon emission problem. Can neuromorphic engineering help?
E Stromatias
Dialogues in Clinical Neuroscience & Mental Health 3 (3), 143-149, 2020
12020
6. From Activations to Spikes
F Galluppi, TS Gotarredona, Q Liu, E Stromatias
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