Saeed Reza Kheradpisheh
Title
Cited by
Cited by
Year
STDP-based spiking deep convolutional neural networks for object recognition
SR Kheradpisheh, M Ganjtabesh, SJ Thorpe, T Masquelier
Neural Networks 99, 56-67, 2018
2862018
Deep learning in spiking neural networks
A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida
Neural Networks 111, 47-63, 2019
2382019
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
1192016
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition
SR Kheradpisheh, M Ganjtabesh, T Masquelier
Neurocomputing 205, 382-392, 2016
812016
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
632018
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
232016
Temporal backpropagation for spiking neural networks with one spike per neuron
SR Kheradpisheh, T Masquelier
International Journal of Neural Systems 30 (6), 2050027, 2020
19*2020
Mixture of feature specified experts
SR Kheradpisheh, F Sharifizadeh, A Nowzari-Dalini, M Ganjtabesh, ...
Information Fusion 20, 242-251, 2014
132014
Combining classifiers using nearest decision prototypes
SR Kheradpisheh, F Behjati-Ardakani, R Ebrahimpour
Applied Soft Computing 13 (12), 4570-4578, 2013
112013
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
82018
An evidence-based combining classifier for brain signal analysis
SR Kheradpisheh, A Nowzari-Dalini, R Ebrahimpour, M Ganjtabesh
PloS one 9 (1), e84341, 2014
82014
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
52017
26th Annual Computational Neuroscience Meeting (CNS* 2017): Part 2
LL Rubchinsky, S Ahn, W Klijn, B Cumming, S Yates, V Karakasis, ...
BMC Neuroscience 18 (1), 1-79, 2017
22017
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
12019
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning
SR Kheradpisheh, M Mirsadeghi, T Masquelier
arXiv preprint arXiv:2007.04039, 2020
2020
Learning Visual Features With STDP in a Spiking Deep Neural Network
SR Kheradpisheh, M Ganjtabesh, SJ Thorpe, T Masquelier
Bernstein Conference, 2016
2016
Invariant object recognition using a spiking neural network and the STDP learning rule
SR Kheradpisheh, M Ganjtabesh, T Masquelier
Basic and Clinical Neuroscience Congress 3, 2014
2014
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Articles 1–17