Saeed reza kheradpisheh
WebJul 8, 2024 · Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier We recently proposed the S4NN algorithm, essentially an adaptation of backpropagation to multilayer spiking neural networks that use simple non-leaky integrate-and-fire neurons and a form of temporal coding known as time-to-first-spike coding. WebMay 4, 2016 · Today we get an answer thanks to the work of Saeed Reza Kheradpisheh at the University of Tehran in Iran and a few pals from around the world. These guys have tested humans and machines with the ...
Saeed reza kheradpisheh
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WebSaeed Reza Kheradpisheh, Ph.D. Abstract. Spiking neural networks are biologically plausible counterparts of artificial neural networks. Artificial neural networks are usually trained with stochastic gradient descent (SGD) and spiking neural networks are trained with bioinspired spike timing dependent plasticity (STDP). Spiking networks could ...
WebJan 28, 2024 · Kheradpisheh, Saeed Reza, et al. "STDP-based spiking deep convolutional neural networks for object recognition." Neural Networks 99 (2024): 56-67. Outcome. Artificial Intelligence Conference paper. Investigating Spiking Neural Networks for Energy-Efficient On-Board AI Applications. A Case Study in Land Cover and Land Use Classification WebJul 8, 2024 · Computer Science Computing in Mathematics, Natural Science, Engineering and Medicine Spiking Neural Networks BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning Authors:...
Webauthor = "James, {Spencer L.} and Castle, {Chris D.} and Dingels, {Zachary V.} and Fox, {Jack T.} and Hamilton, {Erin B.} and Zichen Liu and {S Roberts}, {Nicholas L.} and Sylte, {Dillon … WebHey Saeed Reza Kheradpisheh! Claim your profile and join one of the world's largest A.I. communities claim Claim with Google Claim with Twitter Claim with GitHub Claim with …
WebOct 21, 2024 · S4NN: temporal backpropagation for spiking neural networks with one spike per neuron. Saeed Reza Kheradpisheh, Timothée Masquelier. We propose a new supervised learning rule for multilayer spiking neural networks (SNNs) that use a form of temporal coding known as rank-order-coding. With this coding scheme, all neurons fire exactly one …
WebSaeed Reza Kheradpisheh. Department of Computer Science, Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran, Timothée Masquelier. CERCO … slam to the groundWebSearch within Erfan Mirzaei's work. Search Search. Home; Erfan Mirzaei slam this worldWebMilad Mozafari , Saeed Reza Kheradpisheh , Timothee Masquelier , Abbas Nowzari-Dalini , Mohammad Ganjtabesh PMID: 29993898 DOI: 10.1109/TNNLS.2024.2826721 Abstract Reinforcement learning (RL) has recently regained popularity with major achievements such as beating the European game of Go champion. slam to the ground songWebSaeed Reza Kheradpisheh 1 , 2 ,∗, Mohammad Ganjtabesh 1 , Simon J. Thorpe 2 , and Timoth ́ee Masquelier 2. 1 Department of Computer Science, School of Mathematics, Statistics, and Computer Science, University of Tehran, Tehran, Iran 2 CerCo UMR 5549, CNRS – Universit ́e Toulouse 3, France. slam to transisitionWebNov 4, 2016 · ∙ by Saeed Reza Kheradpisheh, et al. ∙ University of Tehran ∙ CNRS ∙ 0 ∙ share Previous studies have shown that spike-timing-dependent plasticity (STDP) can be used in spiking neural networks (SNN) to extract visual features of low or intermediate complexity in an unsupervised manner. slam transport limitedWebJul 15, 2024 · Saeed Reza Kheradpisheh ... In this paper, we extend the S4NN learning algorithm Kheradpisheh and Masquelier (2024) to overcome the afforementioned challenges and to make it applicable in deep convolutional SNNs. We use a dynamic encoding scheme to slam traductionWebSep 7, 2016 · Saeed Reza Kheradpisheh 1 2 , Masoud Ghodrati 3 4 , Mohammad Ganjtabesh 1 , Timothée Masquelier 2 5 6 7 Affiliations 1 Department of Computer Science, School of Mathematics, Statistics, and Computer Science, University of Tehran, Tehran, Iran. slam tyson west 1