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Mohammad Ganjtabesh
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2020 – today
- 2024
- [j15]Marius N. Vieth, Ali Rahimi, Ashena Gorgan Mohammadi, Jochen Triesch, Mohammad Ganjtabesh:
Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. Frontiers Neuroinformatics 18 (2024) - [j14]Arsham Gholamzadeh Khoee
, Alireza Javaheri, Saeed Reza Kheradpisheh
Meta-learning in spiking neural networks with reward-modulated STDP. Neurocomputing 600: 128173 (2024) - [i11]Alireza Nadafian, Milad Mozafari, Timothée Masquelier, Mohammad Ganjtabesh:
Brain-inspired Computational Modeling of Action Recognition with Recurrent Spiking Neural Networks Equipped with Reinforcement Delay Learning. CoRR abs/2406.11778 (2024) - 2023
- [i10]Arsham Gholamzadeh Khoee, Alireza Javaheri, Saeed Reza Kheradpisheh, Mohammad Ganjtabesh:
Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP. CoRR abs/2306.04410 (2023) - 2021
- [j13]Fatemeh Sharifizadeh, Mohammad Ganjtabesh, Abbas Nowzari-Dalini:
Top-down modulated model for object recognition in different categorisation levels. Int. J. Bio Inspired Comput. 18(1): 13-26 (2021) - [i9]Fatemeh Sharifizadeh, Mohammad Ganjtabesh, Abbas Nowzari-Dalini:
Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks. CoRR abs/2102.05401 (2021) - 2020
- [i8]Alireza Nadafian, Mohammad Ganjtabesh:
Bio-plausible Unsupervised Delay Learning for Extracting Temporal Features in Spiking Neural Networks. CoRR abs/2011.09380 (2020)
2010 – 2019
- 2019
- [j12]Milad Mozafari
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks. Pattern Recognit. 94: 87-95 (2019) - [i7]Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Timothée Masquelier:
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron. CoRR abs/1903.02440 (2019) - 2018
- [j11]Saeed Reza Kheradpisheh
STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks 99: 56-67 (2018) - [j10]Milad Mozafari
First-Spike-Based Visual Categorization Using Reward-Modulated STDP. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6178-6190 (2018) - [i6]Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier:
Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition. CoRR abs/1804.00227 (2018) - 2017
- [j9]Shirin Taghipour, Peyman Zarrineh, Mohammad Ganjtabesh, Abbas Nowzari-Dalini:
Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources. BMC Bioinform. 18(1): 10:1-10:9 (2017) - [j8]Soheila Montaseri, Fatemeh Zare-Mirakabad
Evaluating the quality of SHAPE data simulated by k-mers for RNA structure prediction. J. Bioinform. Comput. Biol. 15(6): 1750023:1-1750023:17 (2017) - [i5]Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh:
First-spike based visual categorization using reward-modulated STDP. CoRR abs/1705.09132 (2017) - 2016
- [j7]Saeed Reza Kheradpisheh, Masoud Ghodrati
Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. Frontiers Comput. Neurosci. 10: 92 (2016) - [j6]Saeed Reza Kheradpisheh
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition. Neurocomputing 205: 382-392 (2016) - [i4]Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier:
Humans and deep networks largely agree on which kinds of variation make object recognition harder. CoRR abs/1604.06486 (2016) - [i3]Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier:
STDP-based spiking deep neural networks for object recognition. CoRR abs/1611.01421 (2016) - 2015
- [j5]Ali Esmaili-Taheri, Mohammad Ganjtabesh:
ERD: a fast and reliable tool for RNA design including constraints. BMC Bioinform. 16: 20:1-20:11 (2015) - [i2]Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier:
Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition. CoRR abs/1504.03871 (2015) - [i1]Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier:
Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition. CoRR abs/1508.03929 (2015) - 2014
- [j4]Ali Esmaili-Taheri, Mohammad Ganjtabesh, Morteza Mohammad Noori:
Evolutionary solution for the RNA design problem. Bioinform. 30(9): 1250-1258 (2014) - [j3]Saeed Reza Kheradpisheh
Mixture of feature specified experts. Inf. Fusion 20: 242-251 (2014) - 2013
- [j2]Hayedeh Ahrabian, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Zahra Razaghi Moghadam Kashani:
Genetic algorithm solution for partial digest problem. Int. J. Bioinform. Res. Appl. 9(6): 584-594 (2013)
2000 – 2009
- 2009
- [j1]Mohammad Ganjtabesh, Haydeh Ahrabian, Abbas Nowzari-Dalini:
Molecular solutions for double and partial digest problems in polynomial time. Comput. Informatics 28(5): 599-618 (2009)
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