Mohammad GANJTABESH

University of Tehran

H-index: 13

Asia-Iran

About Mohammad GANJTABESH

Mohammad GANJTABESH, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Tehran, specializes in the field of Computational Neuroscience, Spiking Neural Nets, Cortical Columns, Bio-inspired Models, Deep SNN.

His recent articles reflect a diverse array of research interests and contributions to the field:

Accelerating Spiking Neural Network Simulations with PymoNNto and PymoNNtorch

On computational models of theory of mind and the imitative reinforcement learning in spiking neural networks

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

Avid: A Variational Inference Deliberation For Meta-Learning

Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks

Top-down modulated model for object recognition in different categorisation levels

Bio-plausible unsupervised delay learning for extracting temporal features in spiking neural networks

Mohammad GANJTABESH Information

University	University of Tehran
Position	Department of Computer Science ()
Citations(all)	1860
Citations(since 2020)	1535
Cited By	945
hIndex(all)	13
hIndex(since 2020)	11
i10Index(all)	15
i10Index(since 2020)	12
Email	Access Email
University Profile Page	University of Tehran
Google Scholar	View Google Scholar Profile

Mohammad GANJTABESH Skills & Research Interests

Computational Neuroscience

Spiking Neural Nets

Cortical Columns

Bio-inspired Models

Deep SNN

Top articles of Mohammad GANJTABESH

Title	Journal	Author(s)	Publication Date
Accelerating Spiking Neural Network Simulations with PymoNNto and PymoNNtorch	Frontiers in Neuroinformatics	Marius Vieth Ali Rahimi Ashena Gorgan Mohammadi Jochen Triesch Mohammad Ganjtabesh	2024/2/20
On computational models of theory of mind and the imitative reinforcement learning in spiking neural networks	Scientific Reports	Ashena Gorgan Mohammadi Mohammad Ganjtabesh	2024/1/23
Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP	arXiv e-prints	Arsham Gholamzadeh Khoee Alireza Javaheri Saeed Reza Kheradpisheh Mohammad Ganjtabesh	2023/6
Avid: A Variational Inference Deliberation For Meta-Learning		Alireza Javaheri Saeed Reza Kheradpisheh Hadi Farahani Arsham Gholamzadeh Khoee Mohammad Ganjtabesh	2022/11/17
Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks	arXiv preprint arXiv:2102.05401	Fatemeh Sharifizadeh Mohammad Ganjtabesh Abbas Nowzari-Dalini	2021/2/10
Top-down modulated model for object recognition in different categorisation levels	International Journal of Bio-Inspired Computation	Fatemeh Sharifizadeh Mohammad Ganjtabesh Abbas Nowzari-Dalini	2021
Bio-plausible unsupervised delay learning for extracting temporal features in spiking neural networks	arXiv preprint arXiv:2011.09380	Alireza Nadafian Mohammad Ganjtabesh	2020/11/18