8 citations · 12 across the 3 of their papers we have counts for
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cs.NE2022★ 1 cited
Biologically-inspired neuronal adaptation improves learning in neural networks
Yoshimasa Kubo, Eric Chalmers, Artur Luczak
Since humans still outperform artificial neural networks on many tasks, drawing inspiration from the brain may help to improve current machine learning algorithms. Contrastive Hebb…
cs.NE2017
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe
Volodymyr Turchenko, Eric Chalmers, Artur Luczak
This paper presents the development of several models of a deep convolutional auto-encoder in the Caffe deep learning framework and their experimental evaluation on the example of…