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Frontiers in Computational Neuroscience
|
September 20, 2016
Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder
Saeed R Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, et al.
Scientific Reports
|
September 8, 2016
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
January 13, 2018
STDP-based spiking deep convolutional neural networks for object recognition
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe, et al.
Frontiers in Psychology
|
August 10, 2017
Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes Longer
Matin N Ashtiani, Saeed R Kheradpisheh, Timothée Masquelier, et al.
Plos One
|
January 7, 2014
An evidence-based combining classifier for brain signal analysis
Saeed Reza Kheradpisheh, Abbas Nowzari-Dalini, Reza Ebrahimpour, et al.
Frontiers in Neuroinformatics
|
March 6, 2024
Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch
Marius Vieth, Ali Rahimi, Ashena Gorgan Mohammadi, et al.
International Journal of Bioinformatics Research and Applications
|
October 3, 2013
Genetic algorithm solution for partial digest problem
Hayedeh Ahrabian, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, et al.
Bioinformation
|
June 21, 2012
Genetic algorithm solution for double digest problem
Mohammad Ganjtabesh, H Ahrabian, A Nowzari-Dalini, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
July 12, 2018
First-Spike-Based Visual Categorization Using Reward-Modulated STDP
Milad Mozafari, Saeed Reza Kheradpisheh, Timothee Masquelier, et al.
Plos Computational Biology
|
September 12, 2025
Competition and cooperation of assembly sequences in recurrent neural networks
Tristan Manfred Stöber, Andrew B Lehr, Arash Nikzad, et al.
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Showing results (11-20 of 20) with videos related to
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This site can display upto 20 results.
Frontiers in Computational Neuroscience
|
September 20, 2016
Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder
Saeed R Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, et al.
Scientific Reports
|
September 8, 2016
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
January 13, 2018
STDP-based spiking deep convolutional neural networks for object recognition
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe, et al.
Frontiers in Psychology
|
August 10, 2017
Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes Longer
Matin N Ashtiani, Saeed R Kheradpisheh, Timothée Masquelier, et al.
Plos One
|
January 7, 2014
An evidence-based combining classifier for brain signal analysis
Saeed Reza Kheradpisheh, Abbas Nowzari-Dalini, Reza Ebrahimpour, et al.
Frontiers in Neuroinformatics
|
March 6, 2024
Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch
Marius Vieth, Ali Rahimi, Ashena Gorgan Mohammadi, et al.
International Journal of Bioinformatics Research and Applications
|
October 3, 2013
Genetic algorithm solution for partial digest problem
Hayedeh Ahrabian, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, et al.
Bioinformation
|
June 21, 2012
Genetic algorithm solution for double digest problem
Mohammad Ganjtabesh, H Ahrabian, A Nowzari-Dalini, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
July 12, 2018
First-Spike-Based Visual Categorization Using Reward-Modulated STDP
Milad Mozafari, Saeed Reza Kheradpisheh, Timothee Masquelier, et al.
Plos Computational Biology
|
September 12, 2025
Competition and cooperation of assembly sequences in recurrent neural networks
Tristan Manfred Stöber, Andrew B Lehr, Arash Nikzad, et al.
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