Developing a supervised training algorithm for limited precision feed-forward spiking neural networks - Evangelos Stromatias (CoRR, 2011)

Power analysis of large-scale, real-time neural networks on SpiNNaker. - Evangelos Stromatias; Francesco Galluppi; Cameron Patterson; Steve B. Furber (IJCNN, 2013)

Optimising the overall power usage on the SpiNNaker neuromimetic platform. - Evangelos Stromatias; Cameron Patterson; Steve B. Furber (IJCNN, 2014)

Supervised learning in Spiking Neural Networks with limited precision: SNN/LP. - Evangelos Stromatias; John S. Marsland (IJCNN, 2015)

Scalable energy-efficient, low-latency implementations of trained spiking Deep Belief Networks on SpiNNaker. - Evangelos Stromatias; Daniel Neil; Francesco Galluppi; Michael Pfeiffer 001; Shih-Chii Liu; Steve B. Furber (IJCNN, 2015)

Live demonstration: Handwritten digit recognition using spiking deep belief networks on SpiNNaker. - Evangelos Stromatias; Daniel Neil; Francesco Galluppi; Michael Pfeiffer 001; Shih-Chii Liu; Steve B. Furber (ISCAS, 2015)

Scalability and robustness of artificial neural networks. - Evangelos Stromatias (2016)

Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network. - Amirreza Yousefzadeh; Garrick Orchard; Evangelos Stromatias; Teresa Serrano-Gotarredona; Bernabé Linares-Barranco (ISCAS, 2018)