Despite the huge recent breakthroughs in neural networks (NNs) for artif...
Dataset augmentation is a common way to deal with small datasets; Chemis...
3-D shape is important to chemistry, but how important? Machine learning...
Memristors have been suggested as a novel route to neuromorphic computin...
Neuromorphic computing is a brainlike information processing paradigm th...
Memristors have been suggested as a novel route to neuromorphic computin...
Memristors have been suggested as neuromorphic computing elements. Spike...
Time perception is essential for task switching, and in the mammalian br...
Memristors are used to compare three gathering techniques in an
already-...
We undertook a study of the use of a memristor network for music generat...
This article presents a spiking neuroevolutionary system which implement...