| STDP-based spiking deep convolutional neural networks for object recognition SR Kheradpisheh, M Ganjtabesh, SJ Thorpe, T Masquelier Neural Networks 99, 56-67, 2018 | 386 | 2018 |
| Deep networks can resemble human feed-forward vision in invariant object recognition SR Kheradpisheh, M Ghodrati, M Ganjtabesh, T Masquelier Scientific reports 6 (1), 1-24, 2016 | 142 | 2016 |
| Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition SR Kheradpisheh, M Ganjtabesh, T Masquelier Neurocomputing 205, 382-392, 2016 | 90 | 2016 |
| 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 | 88* | 2019 |
| 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 | 80 | 2018 |
| 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 | 32 | 2019 |
| Evolutionary solution for the RNA design problem A Esmaili-Taheri, M Ganjtabesh, M Mohammad-Noori Bioinformatics 30 (9), 1250-1258, 2014 | 31 | 2014 |
| 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 | 24 | 2016 |
| DNA algorithm for an unbounded fan-in Boolean circuit H Ahrabian, M Ganjtabesh, A Nowzari-Dalini Biosystems 82 (1), 52-60, 2005 | 18 | 2005 |
| Mixture of feature specified experts SR Kheradpisheh, F Sharifizadeh, A Nowzari-Dalini, M Ganjtabesh, ... Information Fusion 20, 242-251, 2014 | 15 | 2014 |
| 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), 1-9, 2017 | 14 | 2017 |
| ERD: a fast and reliable tool for RNA design including constraints A Esmaili-Taheri, M Ganjtabesh BMC bioinformatics 16 (1), 1-11, 2015 | 13 | 2015 |
| 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 | 8 | 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 | 8 | 2014 |
| 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 | 7 | 2017 |
| 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, 501-18, 2014 | 7 | 2014 |
| A fast algorithm for the partial digest problem R Nadimi, HS Fathabadi, M Ganjtabesh Japan journal of industrial and applied mathematics 28 (2), 315-325, 2011 | 7 | 2011 |
| INVERSE RNA FOLDING SOLUTION BASED ON MULTI-OBJECTIVE GENETIC ALGORITHM AND GIBBS SAMPLING METHOD M Ganjtabesh, F Zare-Mirakabad, A Nowzari-Dalini EXCLI Journal 12, 546-555, 2013 | 6 | 2013 |
| 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 | 5 | 2013 |
| Evaluating the quality of SHAPE data simulated by k-mers for RNA structure prediction S Montaseri, F Zare-Mirakabad, M Ganjtabesh Journal of bioinformatics and computational biology 15 (06), 1750023, 2017 | 3 | 2017 |
Timothée MasquelierCNRS Researcher (DR2), Cerco (CNRS-UT3), TMBI (Univ. Toulouse)Verified email at cnrs.fr
