Year |
Citation |
Score |
2020 |
Kheradpisheh SR, Masquelier T. Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron. International Journal of Neural Systems. 2050027. PMID 32466691 DOI: 10.1142/S0129065720500276 |
0.712 |
|
2019 |
Ramezani F, Kheradpisheh SR, Thorpe SJ, Ghodrati M. Object categorization in visual periphery is modulated by delayed foveal noise. Journal of Vision. 19: 1. PMID 31369042 DOI: 10.1167/19.9.1 |
0.566 |
|
2019 |
Tavanaei A, Ghodrati M, Kheradpisheh SR, Masquelier T, Maida A. Deep learning in spiking neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 111: 47-63. PMID 30682710 DOI: 10.1016/J.Neunet.2018.12.002 |
0.71 |
|
2018 |
Masquelier T, Kheradpisheh SR. Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection. Frontiers in Computational Neuroscience. 12: 74. PMID 30279653 DOI: 10.3389/Fncom.2018.00074 |
0.68 |
|
2018 |
Mozafari M, Kheradpisheh SR, Masquelier T, Nowzari-Dalini A, Ganjtabesh M. First-Spike-Based Visual Categorization Using Reward-Modulated STDP. Ieee Transactions On Neural Networks and Learning Systems. PMID 29993898 DOI: 10.1109/Tnnls.2018.2826721 |
0.731 |
|
2017 |
Kheradpisheh SR, Ganjtabesh M, Thorpe SJ, Masquelier T. STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks : the Official Journal of the International Neural Network Society. 99: 56-67. PMID 29328958 DOI: 10.1016/J.Neunet.2017.12.005 |
0.748 |
|
2017 |
Ashtiani MN, Kheradpisheh SR, Masquelier T, Ganjtabesh M. Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes Longer. Frontiers in Psychology. 8: 1261. PMID 28790954 DOI: 10.3389/Fpsyg.2017.01261 |
0.65 |
|
2017 |
Rubchinsky LL, Ahn S, Klijn W, Cumming B, Yates S, Karakasis V, Peyser A, Woodman M, Diaz-Pier S, Deraeve J, Vassena E, Alexander W, Beeman D, Kudela P, Boatman-Reich D, ... ... Kheradpisheh SR, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0371-2 |
0.64 |
|
2016 |
Kheradpisheh SR, Ghodrati M, Ganjtabesh M, Masquelier T. Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. Frontiers in Computational Neuroscience. 10: 92. PMID 27642281 DOI: 10.3389/Fncom.2016.00092 |
0.674 |
|
2016 |
Kheradpisheh SR, Ghodrati M, Ganjtabesh M, Masquelier T. Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition. Scientific Reports. 6: 32672. PMID 27601096 DOI: 10.1038/Srep32672 |
0.68 |
|
2016 |
Kheradpisheh SR, Ganjtabesh M, Masquelier T. Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition Neurocomputing. 205: 382-392. DOI: 10.1016/J.Neucom.2016.04.029 |
0.725 |
|
2014 |
Kheradpisheh SR, Sharifizadeh F, Nowzari-Dalini A, Ganjtabesh M, Ebrahimpour R. Mixture of feature specified experts Information Fusion. 20: 242-251. DOI: 10.1016/J.Inffus.2014.02.006 |
0.38 |
|
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