skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index
Refined by: subject: Deep Learning remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Towards deep learning with segregated dendrites
Towards deep learning with segregated dendrites
Material Type:
Article 		Add to My Research

Towards deep learning with segregated dendrites

eLife, 2017-12, Vol.6 [Peer Reviewed Journal]

2017, Guerguiev et al. This work is licensed under the Creative Commons Attribution License ( https://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. ;2017, Guerguiev et al 2017 Guerguiev et al ;ISSN: 2050-084X ;EISSN: 2050-084X ;DOI: 10.7554/eLife.22901 ;PMID: 29205151

Full text available

Citations Cited by
2
Direct Feedback Alignment With Sparse Connections for Local Learning
Direct Feedback Alignment With Sparse Connections for Local Learning
Material Type:
Article 		Add to My Research

Direct Feedback Alignment With Sparse Connections for Local Learning

Frontiers in neuroscience, 2019-05, Vol.13, p.525-525 [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 Crafton, Parihar, Gebhardt and Raychowdhury. 2019 Crafton, Parihar, Gebhardt and Raychowdhury ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2019.00525 ;PMID: 31178689

Full text available

Citations Cited by
3
Biologically plausible local synaptic learning rules robustly implement deep supervised learning
Biologically plausible local synaptic learning rules robustly implement deep supervised learning
Material Type:
Article 		Add to My Research

Biologically plausible local synaptic learning rules robustly implement deep supervised learning

Frontiers in neuroscience, 2023-10, Vol.17, p.1160899-1160899 [Peer Reviewed Journal]

Copyright © 2023 Konishi, Igarashi and Miura. ;2023. 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 © 2023 Konishi, Igarashi and Miura. 2023 Konishi, Igarashi and Miura ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2023.1160899 ;PMID: 37886676

Full text available

Citations Cited by
4
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
5
Branching into brains
Branching into brains
Material Type:
Article 		Add to My Research

Branching into brains

eLife, 2017-12, Vol.6 [Peer Reviewed Journal]

2017, Shai et al. This work is licensed under the Creative Commons Attribution License ( https://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. ;2017, Shai et al 2017 Shai et al ;ISSN: 2050-084X ;EISSN: 2050-084X ;DOI: 10.7554/eLife.33066 ;PMID: 29205152

Full text available

Citations Cited by
6
Supervised Learning Algorithm Based on Spike Train Inner Product for Deep Spiking Neural Networks
Supervised Learning Algorithm Based on Spike Train Inner Product for Deep Spiking Neural Networks
Material Type:
Article 		Add to My Research

Supervised Learning Algorithm Based on Spike Train Inner Product for Deep Spiking Neural Networks

Brain sciences, 2023-01, Vol.13 (2), p.168 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 by the authors. 2023 ;ISSN: 2076-3425 ;EISSN: 2076-3425 ;DOI: 10.3390/brainsci13020168 ;PMID: 36831711

Full text available

Citations Cited by
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait