Saeed Reza Kheradpisheh, Ph.D.
Affiliations: | 2013-2017 | Computer Science | university of tehran, Tehran, Tehran Province, Iran |
| 2017-2018 | School of Biological Sciences | Institute for Research in Fundamental Sciences (IPM), Tehran, Tehran Province, Iran | |
| 2018-2020 | Computer Science | Shahid Beheshti University, Tehran, Tehran Province, Iran |
Area:
Spiking Neural Networks, Deep LearningGoogle:
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Publications
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| Kheradpisheh SR, Masquelier T. (2020) Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron. International Journal of Neural Systems. 2050027 |
| Ramezani F, Kheradpisheh SR, Thorpe SJ, et al. (2019) Object categorization in visual periphery is modulated by delayed foveal noise. Journal of Vision. 19: 1 |
| Tavanaei A, Ghodrati M, Kheradpisheh SR, et al. (2019) Deep learning in spiking neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 111: 47-63 |
| Masquelier T, Kheradpisheh SR. (2018) Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection. Frontiers in Computational Neuroscience. 12: 74 |
| Mozafari M, Kheradpisheh SR, Masquelier T, et al. (2018) First-Spike-Based Visual Categorization Using Reward-Modulated STDP. Ieee Transactions On Neural Networks and Learning Systems |
| Kheradpisheh SR, Ganjtabesh M, Thorpe SJ, et al. (2017) STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks : the Official Journal of the International Neural Network Society. 99: 56-67 |
| Ashtiani MN, Kheradpisheh SR, Masquelier T, et al. (2017) Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes Longer. Frontiers in Psychology. 8: 1261 |
| Rubchinsky LL, Ahn S, Klijn W, et al. (2017) 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18 |
| Kheradpisheh SR, Ghodrati M, Ganjtabesh M, et al. (2016) Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. Frontiers in Computational Neuroscience. 10: 92 |
| Kheradpisheh SR, Ghodrati M, Ganjtabesh M, et al. (2016) Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition. Scientific Reports. 6: 32672 |