Emre Ozgür Neftçi

Affiliations: 
Physics Institute of Neuroinformatics Zurich, Zurich, Switzerland 
Area:
Neuromorphic Engineering, Computational Neuroscience
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"Emre Neftçi"
Cross-listing: Neurotree - Physics Tree

Parents

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Elisabetta Chicca grad student (Neurotree)
Rodney J. Douglas grad student INI Zurich (Neurotree)
Giacomo Indiveri grad student ETH/Uni Zurich (Neurotree)

Collaborators

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Henry D I Abarbanel collaborator INI Zurich (Neurotree)
Stefano Fusi collaborator INI Zurich (Neurotree)
Dylan Richard Muir collaborator 2010-2012 Institute for Neuroinformatics (Neurotree)
BETA: Related publications

Publications

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Park J, Ha S, Yu T, et al. (2023) A 22-pJ/spike 73-Mspikes/s 130k-compartment neural array transceiver with conductance-based synaptic and membrane dynamics. Frontiers in Neuroscience. 17: 1198306
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
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