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
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
Alireza AzadbakhtMaster Student, Shahid Beheshti UniversityVerified email at mail.sbu.ac.ir
Alireza JavaheriShahid Beheshti UniversityVerified email at mail.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
Arsham Gholamzadeh KhoeeComputer Science and Engineering, Chalmers University of TechnologyVerified email at chalmers.se
Farzad RamezaniUniversity of TehranVerified email at ut.ac.ir
Parham GeramifarMedical Physicist Specialist in Nuclear MedicineVerified email at tums.ac.ir
Mahdi SadeghiFull Professor, Iran University of Medical Sciences, Medical Physics DepartmentVerified email at iums.ac.ir
Mahbod NouriResearcher, The University of BremenVerified email at uni-bremen.de
Hafez GhaemiPh.D. Student, Mila and University of MontrealVerified email at umontreal.ca
Erfan MirzaeiPh.D. Researcher, Istituto Italiano di TecnologiaVerified email at iit.it

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	1244	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	849	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	240	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	216	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	191	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	144	2016
BS4NN: Binarized spiking neural networks with temporal coding and learning SR Kheradpisheh, M Mirsadeghi, T Masquelier Neural Processing Letters, 2021	74	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	66	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	28	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	26	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
Spiking neural networks trained via proxy SR Kheradpisheh, M Mirsadeghi, T Masquelier IEEE Access 10, 70769-70778, 2022	17	2022
Combining classifiers using nearest decision prototypes SR Kheradpisheh, F Behjati-Ardakani, R Ebrahimpour Applied Soft Computing 13 (12), 4570-4578, 2013	15	2013
Spike time displacement-based error backpropagation in convolutional spiking neural networks M Mirsadeghi, M Shalchian, SR Kheradpisheh, T Masquelier Neural Computing and Applications 35 (21), 15891-15906, 2023	14	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	12	2019
An evidence-based combining classifier for brain signal analysis SR Kheradpisheh, A Nowzari-Dalini, R Ebrahimpour, M Ganjtabesh PloS one 9 (1), e84341, 2014	11	2014
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	6	2022
Meta-learning in spiking neural networks with reward-modulated stdp AG Khoee, A Javaheri, SR Kheradpisheh, M Ganjtabesh Neurocomputing 600, 128173, 2024	3*	2024
Automated segmentation of lesions and organs at risk on [⁶⁸Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR E Yazdani, N Karamzadeh-Ziarati, SS Cheshmi, M Sadeghi, P Geramifar, ... Cancer Imaging 24 (1), 30, 2024	3	2024

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