Mohammad Ganjtabesh

According to our database, Mohammad Ganjtabesh authored at least 20 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP.

Arsham Gholamzadeh Khoee, Alireza Javaheri, Saeed Reza Kheradpisheh, Mohammad Ganjtabesh

CoRR, 2023

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

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

2020

Bio-plausible Unsupervised Delay Learning for Extracting Temporal Features in Spiking Neural Networks.

Alireza Nadafian, Mohammad Ganjtabesh

CoRR, 2020

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

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

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

STDP-based spiking deep convolutional neural networks for object recognition.

Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier

Neural Networks, 2018

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

2017

Evaluating the quality of SHAPE data simulated by <i>k-mers</i> for RNA structure prediction.

Soheila Montaseri, Fatemeh Zare-Mirakabad, Mohammad Ganjtabesh

J. Bioinform. Comput. Biol., 2017

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

2016

Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition.

Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier

Neurocomputing, 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

STDP-based spiking deep neural networks for object recognition.

Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier

CoRR, 2016

2015

Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition.

Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier

CoRR, 2015

ERD: a fast and reliable tool for RNA design including constraints.

Ali Esmaili-Taheri, Mohammad Ganjtabesh

BMC Bioinform., 2015

2014

Mixture of feature specified experts.

Saeed Reza Kheradpisheh, Fatemeh Sharifizadeh, Abbas Nowzari-Dalini, Mohammad Ganjtabesh, Reza Ebrahimpour

Inf. Fusion, 2014

Evolutionary solution for the RNA design problem.

Ali Esmaili-Taheri, Mohammad Ganjtabesh, Morteza Mohammad Noori

Bioinform., 2014

2013

Genetic algorithm solution for partial digest problem.

Hayedeh Ahrabian, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Zahra Razaghi Moghadam Kashani

Int. J. Bioinform. Res. Appl., 2013

2009

Molecular solutions for double and partial digest problems in polynomial time.

Mohammad Ganjtabesh, Haydeh Ahrabian, Abbas Nowzari-Dalini

Comput. Informatics, 2009