Evangelos Stromatias
Evangelos Stromatias
Researcher at Medis.nl
Verified email at medis.nl
Title
Cited by
Cited by
Year
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, 222, 2015
792015
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, 350, 2017
732017
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
722013
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
602015
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, 429, 2015
482015
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, 496, 2016
252016
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, 206, 2015
242015
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, 665, 2018
222018
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
92015
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
92015
Developing a supervised training algorithm for limited precision feed-forward spiking neural networks
E Stromatias
arXiv preprint arXiv:1109.2788, 2011
92011
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
62018
2015 International Joint Conference on Neural Networks (IJCNN)
E Stromatias, D Neil, F Galluppi, M Pfeiffer, SC Liu, S Furber
52015
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
12017
Scalability and robustness of artificial neural networks
E Stromatias
PQDT-UK & Ireland, 2016
12016
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
12014
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
2020
Neuron circuit, system, and method with synapse weight learning
B Linares-barranco, A Yousefzadeh, E Stromatias, T Serrano-gotarredona
US Patent App. 16/181,850, 2019
2019
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