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Found 4 papers, 1 papers with code
Deep Learning in Spiking Neural Networks
In this approach, a deep (multilayer) artificial neural network (ANN) is trained in a supervised manner using backpropagation.
Humans and deep networks largely agree on which kinds of variation make object recognition harder
This feed-forward architecture has inspired a new generation of bio-inspired computer vision systems called deep convolutional neural networks (DCNN), which are currently the best algorithms for object recognition in natural images.
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Deep convolutional neural networks (DCNNs) have attracted much attention recently, and have shown to be able to recognize thousands of object categories in natural image databases.
A specialized face-processing network consistent with the representational geometry of monkey face patches
Ample evidence suggests that face processing in human and non-human primates is performed differently compared with other objects.
