Molecular solutions for double and partial digest problems in polynomial time. - Mohammad Ganjtabesh; Haydeh Ahrabian; Abbas Nowzari-Dalini (Comput. Informatics, 2009)

Genetic algorithm solution for partial digest problem. - Hayedeh Ahrabian; Mohammad Ganjtabesh; Abbas Nowzari-Dalini; Zahra Razaghi Moghadam Kashani (Int. J. Bioinform. Res. Appl., 2013)

Evolutionary solution for the RNA design problem. - Ali Esmaili-Taheri; Mohammad Ganjtabesh; Morteza Mohammad Noori (Bioinform., 2014)

Mixture of feature specified experts. - Saeed Reza Kheradpisheh; Fatemeh Sharifizadeh; Abbas Nowzari-Dalini; Mohammad Ganjtabesh; Reza Ebrahimpour (Inf. Fusion, 2014)

ERD: a fast and reliable tool for RNA design including constraints. - Ali Esmaili-Taheri; Mohammad Ganjtabesh (BMC Bioinform., 2015)

Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition. - Saeed Reza Kheradpisheh; Masoud Ghodrati; Mohammad Ganjtabesh; Timothée Masquelier (CoRR, 2015)

STDP-based spiking deep neural networks for object recognition. - Saeed Reza Kheradpisheh; Mohammad Ganjtabesh; Simon J. Thorpe; Timothée Masquelier (CoRR, 2016)

Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. - Saeed Reza Kheradpisheh; Masoud Ghodrati; Mohammad Ganjtabesh; Timothée Masquelier (Frontiers Comput. Neurosci., 2016)

Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition. - Saeed Reza Kheradpisheh; Mohammad Ganjtabesh; Timothée Masquelier (Neurocomputing, 2016)

Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources. - Shirin Taghipour; Peyman Zarrineh; Mohammad Ganjtabesh; Abbas Nowzari-Dalini (BMC Bioinform., 2017)

Evaluating the quality of SHAPE data simulated by k-mers for RNA structure prediction. - Soheila Montaseri; Fatemeh Zare-Mirakabad; Mohammad Ganjtabesh (J. Bioinform. Comput. Biol., 2017)

Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition. - Milad Mozafari; Mohammad Ganjtabesh; Abbas Nowzari-Dalini; Simon J. Thorpe; Timothée Masquelier (CoRR, 2018)

STDP-based spiking deep convolutional neural networks for object recognition. - Saeed Reza Kheradpisheh; Mohammad Ganjtabesh; Simon J. Thorpe; Timothée Masquelier (Neural Networks, 2018)

First-Spike-Based Visual Categorization Using Reward-Modulated STDP. - Milad Mozafari; Saeed Reza Kheradpisheh; Timothée Masquelier; Abbas Nowzari-Dalini; Mohammad Ganjtabesh (IEEE Trans. Neural Networks Learn. Syst., 2018)

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron. - Milad Mozafari; Mohammad Ganjtabesh; Abbas Nowzari-Dalini; Timothée Masquelier (CoRR, 2019)

Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks. - Milad Mozafari; Mohammad Ganjtabesh; Abbas Nowzari-Dalini; Simon J. Thorpe; Timothée Masquelier (Pattern Recognit., 2019)

Bio-plausible Unsupervised Delay Learning for Extracting Temporal Features in Spiking Neural Networks. - Alireza Nadafian; Mohammad Ganjtabesh (CoRR, 2020)

Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks. - Fatemeh Sharifizadeh; Mohammad Ganjtabesh; Abbas Nowzari-Dalini (CoRR, 2021)

Top-down modulated model for object recognition in different categorisation levels. - Fatemeh Sharifizadeh; Mohammad Ganjtabesh; Abbas Nowzari-Dalini (Int. J. Bio Inspired Comput., 2021)

Brain-inspired Computational Modeling of Action Recognition with Recurrent Spiking Neural Networks Equipped with Reinforcement Delay Learning. - Alireza Nadafian; Milad Mozafari; Timothée Masquelier; Mohammad Ganjtabesh (CoRR, 2024)

Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. - Marius N. Vieth; Ali Rahimi; Ashena Gorgan Mohammadi; Jochen Triesch; Mohammad Ganjtabesh (Frontiers Neuroinformatics, 2024)

Meta-learning in spiking neural networks with reward-modulated STDP. - Arsham Gholamzadeh Khoee; Alireza Javaheri; Saeed Reza Kheradpisheh; Mohammad Ganjtabesh (Neurocomputing, 2024)

Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks. - Alireza Nadafian; Mohammad Ganjtabesh (Neural Comput., 2024)