Emre Ozgür Neftçi - Publications

Affiliations: 
Physics Institute of Neuroinformatics Zurich, Zurich, Switzerland 
Area:
Neuromorphic Engineering, Computational Neuroscience

20/39 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Park J, Ha S, Yu T, Neftci E, Cauwenberghs G. A 22-pJ/spike 73-Mspikes/s 130k-compartment neural array transceiver with conductance-based synaptic and membrane dynamics. Frontiers in Neuroscience. 17: 1198306. PMID 37700751 DOI: 10.3389/fnins.2023.1198306  0.406
2020 Kaiser J, Mostafa H, Neftci E. Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE). Frontiers in Neuroscience. 14: 424. PMID 32477050 DOI: 10.3389/fnins.2020.00424  0.304
2020 Li G, Deng L, Chua Y, Li P, Neftci EO, Li H. Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing. Frontiers in Neuroscience. 14: 276. PMID 32351350 DOI: 10.3389/fnins.2020.00276  0.305
2016 Sheik S, Paul S, Augustine C, Kothapalli C, Khellah MM, Cauwenberghs G, Neftci E. Synaptic sampling in hardware spiking neural networks Proceedings - Ieee International Symposium On Circuits and Systems. 2016: 2090-2093. DOI: 10.1109/ISCAS.2016.7538991  0.323
2016 Naous R, AlShedivat M, Neftci E, Cauwenberghs G, Salama KN. Memristor-based neural networks: Synaptic versus neuronal stochasticity Aip Advances. 6: 111304. DOI: 10.1063/1.4967352  0.451
2015 Al-Shedivat M, Naous R, Neftci E, Cauwenberghs G, Salama KN. Inherently stochastic spiking neurons for probabilistic neural computation International Ieee/Embs Conference On Neural Engineering, Ner. 2015: 356-359. DOI: 10.1109/NER.2015.7146633  0.443
2014 Stefanini F, Neftci EO, Sheik S, Indiveri G. PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems. Frontiers in Neuroinformatics. 8: 73. PMID 25232314 DOI: 10.3389/Fninf.2014.00073  0.775
2013 Neftci E, Das S, Pedroni B, Kreutz-Delgado K, Cauwenberghs G. Event-driven contrastive divergence for spiking neuromorphic systems. Frontiers in Neuroscience. 7: 272. PMID 24574952 DOI: 10.3389/Fnins.2013.00272  0.447
2013 Neftci E, Binas J, Rutishauser U, Chicca E, Indiveri G, Douglas RJ. Synthesizing cognition in neuromorphic electronic systems. Proceedings of the National Academy of Sciences of the United States of America. 110: E3468-76. PMID 23878215 DOI: 10.1073/Pnas.1212083110  0.77
2013 Pedroni BU, Das S, Neftci E, Kreutz-Delgado K, Cauwenberghs G. Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6707067  0.331
2012 Neftci EO, Toth B, Indiveri G, Abarbanel HD. Dynamic state and parameter estimation applied to neuromorphic systems. Neural Computation. 24: 1669-94. PMID 22428591 DOI: 10.1162/Neco_A_00293  0.758
2012 Corneil D, Sonnleithner D, Neftci E, Chicca E, Cook M, Indiveri G, Douglas R. Real-time inference in a VLSI spiking neural network Iscas 2012 - 2012 Ieee International Symposium On Circuits and Systems. 2425-2428. DOI: 10.1109/ISCAS.2012.6271788  0.76
2012 Corneil D, Sonnleithner D, Neftci E, Chicca E, Cook M, Indiveri G, Douglas R. Function approximation with uncertainty propagation in a VLSI spiking neural network Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252780  0.756
2012 Landsman AS, Neftci E, Muir DR. Noise robustness and spatially patterned synchronization of cortical oscillators New Journal of Physics. 14. DOI: 10.1088/1367-2630/14/12/123031  0.734
2012 Neftci E, Binas J, Chicca E, Indiveri G, Douglas R. Systematic construction of finite state automata using VLSI spiking neurons Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7375: 382-383. DOI: 10.1007/978-3-642-31525-1_52  0.747
2011 Neftci E, Chicca E, Indiveri G, Douglas R. A systematic method for configuring VLSI networks of spiking neurons. Neural Computation. 23: 2457-97. PMID 21732859 DOI: 10.1162/Neco_A_00182  0.779
2011 Sheik S, Stefanini F, Neftci E, Chicca E, Indiveri G. Systematic configuration and automatic tuning of neuromorphic systems Proceedings - Ieee International Symposium On Circuits and Systems. 873-876. DOI: 10.1109/ISCAS.2011.5937705  0.703
2010 Neftci E, Chicca E, Cook M, Indiveri G, Douglas R. State-dependent sensory processing in networks of VLSI spiking neurons Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2789-2792. DOI: 10.1109/ISCAS.2010.5537007  0.787
2010 Neftci E, Chicca E, Cook M, Indiveri G, Douglas R. Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2788. DOI: 10.1109/ISCAS.2010.5537006  0.787
2010 Neftci E, Indiveri G. A device mismatch compensation method for VLSI neural networks 2010 Ieee Biomedical Circuits and Systems Conference, Biocas 2010. 262-265. DOI: 10.1109/BIOCAS.2010.5709621  0.678
Low-probability matches (unlikely to be authored by this person)
2022 Dutta S, Detorakis G, Khanna A, Grisafe B, Neftci E, Datta S. Neural sampling machine with stochastic synapse allows brain-like learning and inference. Nature Communications. 13: 2571. PMID 35546144 DOI: 10.1038/s41467-022-30305-8  0.286
2015 Neftci E, Das S, Pedroni B, Kreutz-Delgado K, Cauwenberghs G. Event-driven contrastive divergence: neural sampling foundations. Frontiers in Neuroscience. 9: 104. PMID 25873857 DOI: 10.3389/Fnins.2015.00104  0.283
2016 Neftci EO, Pedroni BU, Joshi S, Al-Shedivat M, Cauwenberghs G. Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines. Frontiers in Neuroscience. 10: 241. PMID 27445650 DOI: 10.3389/Fnins.2016.00241  0.256
2016 Eryilmaz SB, Joshi S, Neftci E, Wan W, Cauwenberghs G, Wong HSP. Neuromorphic architectures with electronic synapses Proceedings - International Symposium On Quality Electronic Design, Isqed. 2016: 118-123. DOI: 10.1109/ISQED.2016.7479186  0.235
2017 Neftci EO, Augustine C, Paul S, Detorakis G. Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines. Frontiers in Neuroscience. 11: 324. PMID 28680387 DOI: 10.3389/Fnins.2017.00324  0.234
2019 Pedroni BU, Joshi S, Deiss SR, Sheik S, Detorakis G, Paul S, Augustine C, Neftci EO, Cauwenberghs G. Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity. Frontiers in Neuroscience. 13: 357. PMID 31110470 DOI: 10.3389/Fnins.2019.00357  0.233
2016 Naous R, Al-Shedivat M, Neftci E, Cauwenberghs G, Salama KN. Stochastic synaptic plasticity with memristor crossbar arrays Proceedings - Ieee International Symposium On Circuits and Systems. 2016: 2078-2081. DOI: 10.1109/ISCAS.2016.7538988  0.203
2018 Neftci EO. Data and Power Efficient Intelligence with Neuromorphic Learning Machines. Iscience. 5: 52-68. PMID 30240646 DOI: 10.1016/j.isci.2018.06.010  0.178
2022 Barsever D, Steyvers M, Neftci E. Building and benchmarking the motivated deception corpus: Improving the quality of deceptive text through gaming. Behavior Research Methods. 1-11. PMID 36547757 DOI: 10.3758/s13428-022-02028-7  0.171
2019 Detorakis G, Bartley T, Neftci E. Contrastive Hebbian learning with random feedback weights. Neural Networks : the Official Journal of the International Neural Network Society. 114: 1-14. PMID 30831378 DOI: 10.1016/j.neunet.2019.01.008  0.171
2021 Zenke F, Bohté SM, Clopath C, Comşa IM, Göltz J, Maass W, Masquelier T, Naud R, Neftci EO, Petrovici MA, Scherr F, Goodman DFM. Visualizing a joint future of neuroscience and neuromorphic engineering. Neuron. 109: 571-575. PMID 33600754 DOI: 10.1016/j.neuron.2021.01.009  0.163
2018 Detorakis G, Sheik S, Augustine C, Paul S, Pedroni BU, Dutt N, Krichmar J, Cauwenberghs G, Neftci E. Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning. Frontiers in Neuroscience. 12: 583. PMID 30210274 DOI: 10.3389/Fnins.2018.00583  0.154
2023 Xing J, Nagata T, Zou X, Neftci E, Krichmar JL. Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. Neural Networks : the Official Journal of the International Neural Network Society. 161: 228-241. PMID 36774862 DOI: 10.1016/j.neunet.2023.01.025  0.149
2016 Eryilmaz SB, Neftci E, Joshi S, Kim S, BrightSky M, Lung H, Lam C, Cauwenberghs G, Wong HP. Training a Probabilistic Graphical Model With Resistive Switching Electronic Synapses Ieee Transactions On Electron Devices. 63: 5004-5011. DOI: 10.1109/Ted.2016.2616483  0.109
2019 Neftci EO, Averbeck BB. Reinforcement learning in artificial and biological systems Nature Machine Intelligence. 1: 133-143. DOI: 10.1038/S42256-019-0025-4  0.109
2019 Fouda ME, Neftci E, Eltawil A, Kurdahi F. Independent Component Analysis Using RRAMs Ieee Transactions On Nanotechnology. 18: 611-615. DOI: 10.1109/Tnano.2018.2880734  0.103
2015 Fonollosa J, Neftci E, Huerta R, Marco S. Evaluation of calibration transfer strategies between Metal Oxide gas sensor arrays Procedia Engineering. 120: 261-264. DOI: 10.1016/J.Proeng.2015.08.601  0.094
2022 Pantazi A, Rajendran B, Simeone O, Neftci E. Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms. Frontiers in Neuroscience. 16: 974627. PMID 35958992 DOI: 10.3389/fnins.2022.974627  0.082
2015 Fonollosa J, Neftci E, Rabinovich M. Learning of Chunking Sequences in Cognition and Behavior. Plos Computational Biology. 11: e1004592. PMID 26584306 DOI: 10.1371/Journal.Pcbi.1004592  0.062
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