Mohammad Ganjtabesh

28 papers Journal 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Competition and cooperation of assembly sequences in recurrent neural networks. PLoS Comput. Biol. Tristan M. Stöber, Andrew B. Lehr, Arash Nikzad, Mohammad Ganjtabesh, Marianne Fyhn, Arvind Kumar
2024	J	`jnl`	Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. Frontiers Neuroinformatics Marius N. Vieth, Ali Rahimi, Ashena Gorgan Mohammadi, Jochen Triesch, Mohammad Ganjtabesh
2024	J	`jnl`	Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks. Neural Comput. Alireza Nadafian, Mohammad Ganjtabesh
2024	J	`jnl`	Brain-inspired Computational Modeling of Action Recognition with Recurrent Spiking Neural Networks Equipped with Reinforcement Delay Learning. CoRR Alireza Nadafian, Milad Mozafari, Timothée Masquelier, Mohammad Ganjtabesh
2024	J	`jnl`	Meta-learning in spiking neural networks with reward-modulated STDP. Neurocomputing Arsham Gholamzadeh Khoee, Alireza Javaheri, Saeed Reza Kheradpisheh, Mohammad Ganjtabesh
2023	J	`jnl`	Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP. CoRR Arsham Gholamzadeh Khoee, Alireza Javaheri, Saeed Reza Kheradpisheh, Mohammad Ganjtabesh
2021	J	`jnl`	Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks. CoRR Fatemeh Sharifizadeh, Mohammad Ganjtabesh, Abbas Nowzari-Dalini
2021	J	`jnl`	Top-down modulated model for object recognition in different categorisation levels. Int. J. Bio Inspired Comput. Fatemeh Sharifizadeh, Mohammad Ganjtabesh, Abbas Nowzari-Dalini
2020	J	`jnl`	Bio-plausible Unsupervised Delay Learning for Extracting Temporal Features in Spiking Neural Networks. CoRR Alireza Nadafian, Mohammad Ganjtabesh
2019	J	`jnl`	Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks. Pattern Recognit. Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier
2019	J	`jnl`	SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron. CoRR Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Timothée Masquelier
2018	J	`jnl`	Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition. CoRR Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier
2018	J	`jnl`	First-Spike-Based Visual Categorization Using Reward-Modulated STDP. IEEE Trans. Neural Networks Learn. Syst. Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh
2018	J	`jnl`	STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier
2017	J	`jnl`	Evaluating the quality of SHAPE data simulated by J. Bioinform. Comput. Biol. Soheila Montaseri, Fatemeh Zare-Mirakabad, Mohammad Ganjtabesh
2017	J	`jnl`	First-spike based visual categorization using reward-modulated STDP. CoRR Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh
2017	J	`jnl`	Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources. BMC Bioinform. Shirin Taghipour, Peyman Zarrineh, Mohammad Ganjtabesh, Abbas Nowzari-Dalini
2016	J	`jnl`	Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition. Neurocomputing Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier
2016	J	`jnl`	Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. Frontiers Comput. Neurosci. Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
2016	J	`jnl`	Humans and deep networks largely agree on which kinds of variation make object recognition harder. CoRR Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
2016	J	`jnl`	STDP-based spiking deep neural networks for object recognition. CoRR Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier
2015	J	`jnl`	Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition. CoRR Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier
2015	J	`jnl`	Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition. CoRR Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
2015	J	`jnl`	ERD: a fast and reliable tool for RNA design including constraints. BMC Bioinform. Ali Esmaili-Taheri, Mohammad Ganjtabesh
2014	J	`jnl`	Evolutionary solution for the RNA design problem. Bioinform. Ali Esmaili-Taheri, Mohammad Ganjtabesh, Morteza Mohammad Noori
2014	J	`jnl`	Mixture of feature specified experts. Inf. Fusion Saeed Reza Kheradpisheh, Fatemeh Sharifizadeh, Abbas Nowzari-Dalini, Mohammad Ganjtabesh, Reza Ebrahimpour
2013	J	`jnl`	Genetic algorithm solution for partial digest problem. Int. J. Bioinform. Res. Appl. Hayedeh Ahrabian, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Zahra Razaghi Moghadam Kashani
2009	J	`jnl`	Molecular solutions for double and partial digest problems in polynomial time. Comput. Informatics Mohammad Ganjtabesh, Haydeh Ahrabian, Abbas Nowzari-Dalini