Mohammad Ganjtabesh

Orcid: 0000-0001-8062-8794

According to our database1, Mohammad Ganjtabesh authored at least 23 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks.
Neural Comput., 2024

Meta-learning in spiking neural networks with reward-modulated STDP.
Neurocomputing, 2024

Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch.
Frontiers Neuroinformatics, 2024

Brain-inspired Computational Modeling of Action Recognition with Recurrent Spiking Neural Networks Equipped with Reinforcement Delay Learning.
CoRR, 2024

2021
Top-down modulated model for object recognition in different categorisation levels.
Int. J. Bio Inspired Comput., 2021

Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks.
CoRR, 2021

2020
Bio-plausible Unsupervised Delay Learning for Extracting Temporal Features in Spiking Neural Networks.
CoRR, 2020

2019
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks.
Pattern Recognit., 2019

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron.
CoRR, 2019

2018
First-Spike-Based Visual Categorization Using Reward-Modulated STDP.
IEEE Trans. Neural Networks Learn. Syst., 2018

STDP-based spiking deep convolutional neural networks for object recognition.
Neural Networks, 2018

Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition.
CoRR, 2018

2017
Evaluating the quality of SHAPE data simulated by <i>k-mers</i> for RNA structure prediction.
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.
BMC Bioinform., 2017

2016
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition.
Neurocomputing, 2016

Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder.
Frontiers Comput. Neurosci., 2016

STDP-based spiking deep neural networks for object recognition.
CoRR, 2016

2015
Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition.
CoRR, 2015

ERD: a fast and reliable tool for RNA design including constraints.
BMC Bioinform., 2015

2014
Mixture of feature specified experts.
Inf. Fusion, 2014

Evolutionary solution for the RNA design problem.
Bioinform., 2014

2013
Genetic algorithm solution for partial digest problem.
Int. J. Bioinform. Res. Appl., 2013

2009
Molecular solutions for double and partial digest problems in polynomial time.
Comput. Informatics, 2009


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