Saeed Reza Kheradpisheh
Cited by
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Deep learning in spiking neural networks
A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida
Neural networks 111, 47-63, 2019
STDP-based spiking deep convolutional neural networks for object recognition
SR Kheradpisheh, M Ganjtabesh, SJ Thorpe, T Masquelier
Neural Networks 99, 56-67, 2018
Temporal backpropagation for spiking neural networks with one spike per neuron
SR Kheradpisheh, T Masquelier
International Journal of Neural Systems 30 (6), 2050027, 2020
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
SR Kheradpisheh, M Ghodrati, M Ganjtabesh, T Masquelier
Scientific Reports 6, 32672, 2016
First-spike-based visual categorization using reward-modulated STDP
M Mozafari, SR Kheradpisheh, T Masquelier, A Nowzari-Dalini, ...
IEEE transactions on neural networks and learning systems 29 (12), 6178-6190, 2018
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition
SR Kheradpisheh, M Ganjtabesh, T Masquelier
Neurocomputing 205, 382-392, 2016
BS4NN: Binarized spiking neural networks with temporal coding and learning
SR Kheradpisheh, M Mirsadeghi, T Masquelier
Neural Processing Letters, 2021
STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks
M Mirsadeghi, M Shalchian, SR Kheradpisheh, T Masquelier
Neurocomputing 427, 131-140, 2021
Humans and deep networks largely agree on which kinds of variation make object recognition harder
SR Kheradpisheh, M Ghodrati, M Ganjtabesh, T Masquelier
Frontiers in Computational Neuroscience 10 (74), 92, 2016
Object categorization in finer levels relies more on higher spatial frequencies and takes longer
MN Ashtiani, SR Kheradpisheh, T Masquelier, M Ganjtabesh
Frontiers in psychology 8, 1261, 2017
Mixture of feature specified experts
SR Kheradpisheh, F Sharifizadeh, A Nowzari-Dalini, M Ganjtabesh, ...
Information Fusion 20, 242-251, 2014
Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection
T Masquelier, SR Kheradpisheh
Frontiers in computational neuroscience 12, 74, 2018
Spiking neural networks trained via proxy
SR Kheradpisheh, M Mirsadeghi, T Masquelier
IEEE Access 10, 70769-70778, 2022
Combining classifiers using nearest decision prototypes
SR Kheradpisheh, F Behjati-Ardakani, R Ebrahimpour
Applied Soft Computing 13 (12), 4570-4578, 2013
Spike time displacement-based error backpropagation in convolutional spiking neural networks
M Mirsadeghi, M Shalchian, SR Kheradpisheh, T Masquelier
Neural Computing and Applications 35 (21), 15891-15906, 2023
Object categorization in visual periphery is modulated by delayed foveal noise
F Ramezani, SR Kheradpisheh, SJ Thorpe, M Ghodrati
Journal of Vision 19 (9), 1-1, 2019
An evidence-based combining classifier for brain signal analysis
SR Kheradpisheh, A Nowzari-Dalini, R Ebrahimpour, M Ganjtabesh
PloS one 9 (1), e84341, 2014
Multipath vit ocr: A lightweight visual transformer-based license plate optical character recognition
A Azadbakht, SR Kheradpisheh, H Farahani
2022 12th International Conference on Computer and Knowledge Engineering …, 2022
Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems
M Pirizadeh, H Farahani, SR Kheradpisheh
Knowledge and Information Systems 65 (10), 4157-4183, 2023
BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks
H Ghaemi, E Mirzaei, M Nouri, SR Kheradpisheh
International Conference on Machine Learning, Optimization, and Data Science …, 2022
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