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Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
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Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

Frontiers in neuroscience, 2016-06, Vol.10, p.241-241 [Peer Reviewed Journal]

2016. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2016 Neftci, Pedroni, Joshi, Al-Shedivat and Cauwenberghs. 2016 Neftci, Pedroni, Joshi, Al-Shedivat and Cauwenberghs ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2016.00241 ;PMID: 27445650

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Visualizing a joint future of neuroscience and neuromorphic engineering
Visualizing a joint future of neuroscience and neuromorphic engineering
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Visualizing a joint future of neuroscience and neuromorphic engineering

Neuron, 2021-02, Vol.109 (4), p.571-575 [Peer Reviewed Journal]

Copyright © 2021. ;Copyright Elsevier Limited Feb 17, 2021 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0896-6273 ;EISSN: 1097-4199 ;DOI: 10.1016/j.neuron.2021.01.009 ;PMID: 33600754

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Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
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Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

Frontiers in neuroscience, 2017-06, Vol.11, p.324-324 [Peer Reviewed Journal]

2017. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2017 Neftci, Augustine, Paul and Detorakis. 2017 Neftci, Augustine, Paul and Detorakis ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2017.00324 ;PMID: 28680387

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4
Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity
Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity
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Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity

Frontiers in neuroscience, 2019-04, Vol.13, p.357-357 [Peer Reviewed Journal]

2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2019 Pedroni, Joshi, Deiss, Sheik, Detorakis, Paul, Augustine, Neftci and Cauwenberghs. 2019 Pedroni, Joshi, Deiss, Sheik, Detorakis, Paul, Augustine, Neftci and Cauwenberghs ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2019.00357 ;PMID: 31110470

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5
Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing
Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing
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Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing

Frontiers in neuroscience, 2020-04, Vol.14, p.276-276 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2020 Li, Deng, Chua, Li, Neftci and Li. 2020 Li, Deng, Chua, Li, Neftci and Li ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2020.00276 ;PMID: 32351350

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6
PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems
PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems
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PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems

Frontiers in neuroinformatics, 2014-08, Vol.8, p.73-73 [Peer Reviewed Journal]

2014. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2014 Stefanini, Neftci, Sheik and Indiveri. 2014 ;ISSN: 1662-5196 ;EISSN: 1662-5196 ;EISSN: 1662-453X ;DOI: 10.3389/fninf.2014.00073 ;PMID: 25232314

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