Spiking Neural Networks (SNNs) are a promising research direction for
bu...
In computer vision, convolutional neural networks (CNN) such as ConvNeXt...
Dilated Convolution with Learnable Spacings (DCLS) is a recently propose...
Vanilla spiking neurons in Spiking Neural Networks (SNNs) use
charge-fir...
Event-based cameras are raising interest within the computer vision
comm...
Deep convolutional neural networks (DCNNs) have become the state-of-the-...
Dilated convolution is basically a convolution with a wider kernel creat...
Depth estimation is an important computer vision task, useful in particu...
We propose a new learning algorithm to train spiking neural networks (SN...
We recently proposed the STiDi-BP algorithm, which avoids backward recur...
Multi-label audio tagging consists of assigning sets of tags to audio
re...
Deep Spiking Neural Networks (SNNs) are harder to train than ANNs becaus...
Internet traffic recognition is an essential tool for access providers s...
Deep Neural Networks (DNNs) are the current state-of-the-art models in m...
We recently proposed the S4NN algorithm, essentially an adaptation of
ba...
Recently, it has been shown that spiking neural networks (SNNs) can be
t...
We propose a new supervised learning rule for multilayer spiking neural
...
Application of deep convolutional spiking neural networks (SNNs) to
arti...
Deep learning approaches have shown remarkable performance in many areas...
The primate visual system has inspired the development of deep artificia...
Repeating spatiotemporal spike patterns exist and carry information. Her...
Although representation learning methods developed within the framework ...
Reinforcement learning (RL) has recently regained popularity, with major...
The human visual system contains a hierarchical sequence of modules that...
Previous studies have shown that spike-timing-dependent plasticity (STDP...
By recording multiple cells simultaneously, electrophysiologists have fo...
The final version of this paper has been published in IEEEXplore availab...
View-invariant object recognition is a challenging problem, which has
at...
Retinal image of surrounding objects varies tremendously due to the chan...