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Mohammad GANJTABESH
Mohammad GANJTABESH
Professor of Computer Science (University of Tehran)
Verified email at ut.ac.ir - Homepage
Title
Cited by
Cited by
Year
STDP-based spiking deep convolutional neural networks for object recognition
SR Kheradpisheh, M Ganjtabesh, SJ Thorpe, T Masquelier
Neural Networks 99, 56-67, 2018
8092018
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
220*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
2072016
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
1812018
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, 457850, 2019
1412019
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition
SR Kheradpisheh, M Ganjtabesh, T Masquelier
Neurocomputing 205, 382-392, 2016
1402016
Evolutionary solution for the RNA design problem
A Esmaili-Taheri, M Ganjtabesh, M Mohammad-Noori
Bioinformatics 30 (9), 1250-1258, 2014
422014
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
282016
ERD: a fast and reliable tool for RNA design including constraints
A Esmaili-Taheri, M Ganjtabesh
BMC bioinformatics 16, 1-11, 2015
272015
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, 270155, 2017
242017
Mixture of feature specified experts
SR Kheradpisheh, F Sharifizadeh, A Nowzari-Dalini, M Ganjtabesh, ...
Information Fusion 20, 242-251, 2014
222014
DNA algorithm for an unbounded fan-in Boolean circuit
H Ahrabian, M Ganjtabesh, A Nowzari-Dalini
Biosystems 82 (1), 52-60, 2005
192005
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
182017
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
152016
An evidence-based combining classifier for brain signal analysis
SR Kheradpisheh, A Nowzari-Dalini, R Ebrahimpour, M Ganjtabesh
PloS one 9 (1), e84341, 2014
102014
Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks
A Nadafian, M Ganjtabesh
Neural Computation 36 (7), 1332-1352, 2024
8*2024
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
82014
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
82011
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
72013
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
62013
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