Mohammad GANJTABESH

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Timothée MasquelierCNRS Researcher (DR2), Cerco (CNRS-UT3), TMBI (Univ. Toulouse)Patvirtintas el. paštas cnrs.fr
Abbas Nowzari-Daliniassociate prof., university of tehranPatvirtintas el. paštas ut.ac.ir
Saeed Reza KheradpishehShahid Beheshti UniversityPatvirtintas el. paštas sbu.ac.ir
Milad MozafariResearch Scientist at Torus AIPatvirtintas el. paštas torus-actions.fr
Fatemeh Zare-MirakabadAssistant Professor of Computer Science , Amirkabir University of TechnologyPatvirtintas el. paštas aut.ac.ir
Fatemeh SharifizadehDepartment of Computer Science, Faculty of Mathematical Sciences, Alzahra University, Tehran, Iran.Patvirtintas el. paštas alzahra.ac.ir
Reza EbrahimpourProfessor, Sharif University of Technology, IPM (SCS)Patvirtintas el. paštas sharif.edu
Alireza NadafianMaster's studentPatvirtintas el. paštas ut.ac.ir
Morteza Mohammad-NooriUniversity of TehranPatvirtintas el. paštas ut.ac.ir
Javad MohammadzadehAssociate Professor of Computer Engineering, Islamic Azad University, Karaj BranchPatvirtintas el. paštas kiau.ac.ir
Zahra Razaghi-MoghadamBioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, GermanyPatvirtintas el. paštas mpimp-golm.mpg.de
Matin N. AshtianiPHD Student, Digital Transformation and Innovation, University of OttawaPatvirtintas el. paštas uottawa.ca
Alireza JavaheriShahid Beheshti UniversityPatvirtintas el. paštas mail.sbu.ac.ir
Arsham Gholamzadeh KhoeeComputer Science and Engineering, Chalmers University of TechnologyPatvirtintas el. paštas chalmers.se
Reza NadimiAssistant professor, department of computer science, University of MazandaranPatvirtintas el. paštas umz.ac.ir
Hassan Salehi FathabadiProfessor of Operation ResearchPatvirtintas el. paštas khayam.ut.ac.ir
Jochen TrieschFrankfurt Institute for Advanced StudiesPatvirtintas el. paštas fias.uni-frankfurt.de
Hadi FarahaniAssistant Professor, Shahid Beheshti UniversityPatvirtintas el. paštas sbu.ac.ir
Simon J. ThorpeEmeritus CNRS Research Director (DRCE2), CerCo (CNRS-UT3), TMBI (Univ. Toulouse), France
Masoud Ghodrati, PhD

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Mohammad GANJTABESH

Professor of Computer Science (University of Tehran)

Patvirtintas el. paštas ut.ac.ir - Pagrindinis puslapis

Computational Neuroscience Spiking Neural Nets Cortical Columns Bio-inspired Models Deep SNN


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
STDP-based spiking deep convolutional neural networks for object recognition SR Kheradpisheh, M Ganjtabesh, SJ Thorpe, T Masquelier Neural Networks 99, 56-67, 2018	919	2018
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks M Mozafari, M Ganjtabesh, A Nowzari-Dalini, SJ Thorpe, T Masquelier Pattern recognition 94, 87-95, 2019	257*	2019
Deep networks can resemble human feed-forward vision in invariant object recognition SR Kheradpisheh, M Ghodrati, M Ganjtabesh, T Masquelier Scientific reports 6 (1), 32672, 2016	228	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	216	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	157	2016
Spyketorch: Efficient simulation of convolutional spiking neural networks with at most one spike per neuron M Mozafari, M Ganjtabesh, A Nowzari-Dalini, T Masquelier Frontiers in neuroscience 13, 625, 2019	150	2019
Evolutionary solution for the RNA design problem A Esmaili-Taheri, M Ganjtabesh, M Mohammad-Noori Bioinformatics 30 (9), 1250-1258, 2014	46	2014
ERD: a fast and reliable tool for RNA design including constraints A Esmaili-Taheri, M Ganjtabesh BMC bioinformatics 16, 1-11, 2015	32	2015
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, 92, 2016	30	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	27	2017
Mixture of feature specified experts SR Kheradpisheh, F Sharifizadeh, A Nowzari-Dalini, M Ganjtabesh, ... Information Fusion 20, 242-251, 2014	25	2014
DNA algorithm for an unbounded fan-in Boolean circuit H Ahrabian, M Ganjtabesh, A Nowzari-Dalini Biosystems 82 (1), 52-60, 2005	19	2005
Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources S Taghipour, P Zarrineh, M Ganjtabesh, A Nowzari-Dalini BMC bioinformatics 18, 1-9, 2017	18	2017
Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks A Nadafian, M Ganjtabesh Neural Computation 36 (7), 1332-1352, 2024	14*	2024
Evolutionary algorithm for RNA secondary structure prediction based on simulated SHAPE data S Montaseri, M Ganjtabesh, F Zare-Mirakabad PloS one 11 (11), e0166965, 2016	14	2016
An evidence-based combining classifier for brain signal analysis SR Kheradpisheh, A Nowzari-Dalini, R Ebrahimpour, M Ganjtabesh PloS one 9 (1), e84341, 2014	12	2014
Topological properties of RNA variation networks over the space of RNA shapes J Mohammadzadeh, M Ganjtabesh, A Nowzari-Dalini MATCH Commun. Math. Comput. Chem 72, 501-518, 2014	9	2014
A fast algorithm for the partial digest problem R Nadimi, HS Fathabadi, M Ganjtabesh Japan journal of industrial and applied mathematics 28, 315-325, 2011	9	2011
Meta-learning in spiking neural networks with reward-modulated STDP AG Khoee, A Javaheri, SR Kheradpisheh, M Ganjtabesh Neurocomputing 600, 128173, 2024	7	2024
Genetic algorithm solution for partial digest problem H Ahrabian, M Ganjtabesh, A Nowzari-Dalini, ... International Journal of Bioinformatics Research and Applications 9 (6), 584-594, 2013	7	2013

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