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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