1.4k citations · 3.9k across the 36 of their papers we have counts for
4 papers · 1 filter
STDP-based spiking deep convolutional neural networks for object recognition
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe +1
Previous studies have shown that spike-timing-dependent plasticity (STDP) can be used in spiking neural networks (SNN) to extract visual features of low or intermediate complexity…
STDP allows close-to-optimal spatiotemporal spike pattern detection by single coincidence detector neurons
Timothée Masquelier
By recording multiple cells simultaneously, electrophysiologists have found evidence for repeating spatiotemporal spike patterns, which can carry information. How this information…
Acquisition of Visual Features Through Probabilistic Spike-Timing-Dependent Plasticity
Amirhossein Tavanaei, Timothee Masquelier, Anthony S Maida
The final version of this paper has been published in IEEEXplore available at http://ieeexplore.ieee.org/document/7727213. Please cite this paper as: Amirhossein Tavanaei, Timothee…
Humans and deep networks largely agree on which kinds of variation make object recognition harder
Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh +1
View-invariant object recognition is a challenging problem, which has attracted much attention among the psychology, neuroscience, and computer vision communities. Humans are notor…