62 citations · 108 across the 13 of their papers we have counts for
3 papers · 1 filter
Recurrent Connectivity Aids Recognition of Partly Occluded Objects
Markus Roland Ernst, Jochen Triesch, Thomas Burwick
Feedforward convolutional neural networks are the prevalent model of core object recognition. For challenging conditions, such as occlusion, neuroscientists believe that the recurr…
Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders
Markus Roland Ernst, Jochen Triesch, Thomas Burwick
Recurrent connections in the visual cortex are thought to aid object recognition when part of the stimulus is occluded. Here we investigate if and how recurrent connections in arti…
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy
Diyuan Lu, Jochen Triesch
Epilepsy is the fourth most common neurological disorder, affecting about 1% of the population at all ages. As many as 60% of people with epilepsy experience focal seizures which o…