A deep convolutional auto-encoder with pooling-unpooling layers in caffe
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 …
encoder in the Caffe deep learning framework and their experimental evaluation on the …
Neurons learn by predicting future activity
Understanding how the brain learns may lead to machines with human-like intellectual
capacities. It was previously proposed that the brain may operate on the principle of …
capacities. It was previously proposed that the brain may operate on the principle of …
Real-time classification of experience-related ensemble spiking patterns for closed-loop applications
Communication in neural circuits across the cortex is thought to be mediated by
spontaneous temporally organized patterns of population activity lasting~ 50–200 ms …
spontaneous temporally organized patterns of population activity lasting~ 50–200 ms …