Emre Ozgür Neftçi

Physics Institute of Neuroinformatics Zurich, Zurich, Switzerland 
Neuromorphic Engineering, Computational Neuroscience
"Emre Neftçi"
Mean distance: 14.27 (cluster 17)
Cross-listing: Physics Tree - Computational Biology Tree

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Kaiser J, Mostafa H, Neftci E. (2020) Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE). Frontiers in Neuroscience. 14: 424
Li G, Deng L, Chua Y, et al. (2020) Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing. Frontiers in Neuroscience. 14: 276
Sheik S, Paul S, Augustine C, et al. (2016) Synaptic sampling in hardware spiking neural networks Proceedings - Ieee International Symposium On Circuits and Systems. 2016: 2090-2093
Naous R, AlShedivat M, Neftci E, et al. (2016) Memristor-based neural networks: Synaptic versus neuronal stochasticity Aip Advances. 6: 111304
Al-Shedivat M, Naous R, Neftci E, et al. (2015) Inherently stochastic spiking neurons for probabilistic neural computation International Ieee/Embs Conference On Neural Engineering, Ner. 2015: 356-359
Stefanini F, Neftci EO, Sheik S, et al. (2014) PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems. Frontiers in Neuroinformatics. 8: 73
Neftci E, Das S, Pedroni B, et al. (2013) Event-driven contrastive divergence for spiking neuromorphic systems. Frontiers in Neuroscience. 7: 272
Neftci E, Binas J, Rutishauser U, et al. (2013) Synthesizing cognition in neuromorphic electronic systems. Proceedings of the National Academy of Sciences of the United States of America. 110: E3468-76
Pedroni BU, Das S, Neftci E, et al. (2013) Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks Proceedings of the International Joint Conference On Neural Networks
Neftci EO, Toth B, Indiveri G, et al. (2012) Dynamic state and parameter estimation applied to neuromorphic systems. Neural Computation. 24: 1669-94
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