Saeed Reza Kheradpisheh

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Timothée MasquelierCNRS Researcher (DR2), Cerco (CNRS-UT3), TMBI (Univ. Toulouse)Verified email at cnrs.fr
Mohammad GANJTABESHProfessor of Computer Science (University of Tehran)Verified email at ut.ac.ir
Simon J. ThorpeCNRS Research Director (DRCE2), CerCo (CNRS-UT3), TMBI (Univ. Toulouse), FranceVerified email at cerco.ups-tlse.fr
Amir TavanaeiAmazonVerified email at amazon.com
maryam mirsadeghiResearcherVerified email at aut.ac.ir
Anthony S. MaidaSchool of Computing and Informatics, UL LafayetteVerified email at louisiana.edu
Abbas Nowzari-Daliniassociate prof., university of tehranVerified email at ut.ac.ir
Reza EbrahimpourProfessor, Sharif University of Technology, IPM (SCS)Verified email at sharif.edu
Milad MozafariResearch Scientist at Torus AIVerified email at torus-actions.fr
Hadi FarahaniAssistant Professor, Shahid Beheshti UniversityVerified email at sbu.ac.ir
Matin N. AshtianiPHD Student, Digital Transformation and Innovation, University of OttawaVerified email at uottawa.ca
Fatemeh SharifizadehDepartment of Computer Science, University of Tehran, Iran.Verified email at ut.ac.ir
Alireza AzadbakhtMaster Student, Shahid Beheshti UniversityVerified email at mail.sbu.ac.ir
Alireza JavaheriShahid Beheshti UniversityVerified email at mail.sbu.ac.ir
Farzad RamezaniUniversity of TehranVerified email at ut.ac.ir
Arsham Gholamzadeh KhoeeComputer Science and Engineering, Chalmers University of TechnologyVerified email at chalmers.se
Mahbod NouriResearcher, The University of BremenVerified email at uni-bremen.de
Hafez GhaemiPh.D. Student, Mila Quebec and University of MontrealVerified email at umontreal.ca
Erfan MirzaeiGraduate Student, University of TehranVerified email at ut.ac.ir
Nader NematiUniversity of TurkuVerified email at utu.fi

Saeed Reza Kheradpisheh

Shahid Beheshti University

Verified email at sbu.ac.ir

Spiking Neural Networks Deep Learning Computational Neuroscience


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Deep learning in spiking neural networks A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida Neural networks 111, 47-63, 2019	967	2019
STDP-based spiking deep convolutional neural networks for object recognition SR Kheradpisheh, M Ganjtabesh, SJ Thorpe, T Masquelier Neural Networks 99, 56-67, 2018	749	2018
Temporal backpropagation for spiking neural networks with one spike per neuron SR Kheradpisheh, T Masquelier International Journal of Neural Systems 30 (6), 2050027, 2020	196	2020
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition SR Kheradpisheh, M Ghodrati, M Ganjtabesh, T Masquelier Scientific Reports 6, 32672, 2016	182	2016
First-spike-based visual categorization using reward-modulated STDP M Mozafari, SR Kheradpisheh, T Masquelier, A Nowzari-Dalini, ... IEEE transactions on neural networks and learning systems 29 (12), 6178-6190, 2018	156	2018
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition SR Kheradpisheh, M Ganjtabesh, T Masquelier Neurocomputing 205, 382-392, 2016	137	2016
BS4NN: Binarized spiking neural networks with temporal coding and learning SR Kheradpisheh, M Mirsadeghi, T Masquelier Neural Processing Letters, 2021	57	2021
STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks M Mirsadeghi, M Shalchian, SR Kheradpisheh, T Masquelier Neurocomputing 427, 131-140, 2021	54	2021
Humans and deep networks largely agree on which kinds of variation make object recognition harder SR Kheradpisheh, M Ghodrati, M Ganjtabesh, T Masquelier Frontiers in Computational Neuroscience 10 (74), 92, 2016	27	2016
Object categorization in finer levels relies more on higher spatial frequencies and takes longer MN Ashtiani, SR Kheradpisheh, T Masquelier, M Ganjtabesh Frontiers in psychology 8, 1261, 2017	24	2017
Mixture of feature specified experts SR Kheradpisheh, F Sharifizadeh, A Nowzari-Dalini, M Ganjtabesh, ... Information Fusion 20, 242-251, 2014	22	2014
Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection T Masquelier, SR Kheradpisheh Frontiers in computational neuroscience 12, 74, 2018	20	2018
Combining classifiers using nearest decision prototypes SR Kheradpisheh, F Behjati-Ardakani, R Ebrahimpour Applied Soft Computing 13 (12), 4570-4578, 2013	14	2013
Spiking neural networks trained via proxy SR Kheradpisheh, M Mirsadeghi, T Masquelier IEEE Access 10, 70769-70778, 2022	10	2022
An evidence-based combining classifier for brain signal analysis SR Kheradpisheh, A Nowzari-Dalini, R Ebrahimpour, M Ganjtabesh PloS one 9 (1), e84341, 2014	10	2014
Spike time displacement-based error backpropagation in convolutional spiking neural networks M Mirsadeghi, M Shalchian, SR Kheradpisheh, T Masquelier Neural Computing and Applications, 1-16, 2023	9	2023
Object categorization in visual periphery is modulated by delayed foveal noise F Ramezani, SR Kheradpisheh, SJ Thorpe, M Ghodrati Journal of Vision 19 (9), 1-1, 2019	9	2019
Multipath ViT OCR: A lightweight visual transformer-based license plate optical character recognition A Azadbakht, SR Kheradpisheh, H Farahani 2022 12th International Conference on Computer and Knowledge Engineering …, 2022	4	2022
26th annual computational neuroscience meeting (CNS* 2017): part 2 LL Rubchinsky, S Ahn, W Klijn, B Cumming, S Yates, V Karakasis, ... BMC Neuroscience 18, 1-79, 2017	2	2017
DS4NN: Direct training of deep spiking neural networks with single spike-based temporal coding M Shalchian, M Mirsadeghi, SR Kheradpisheh AUT Journal of Electrical Engineering, 2023	1*	2023

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