We introduce a novel spiking neural network model for learning distribut...
Theories and models of working memory (WM) were at least since the mid-1...
Associative memory has been a prominent candidate for the computation
pe...
Learning internal representations from data using no or few labels is us...
The modern deep learning method based on backpropagation has surged in
p...
Unsupervised learning of hidden representations has been one of the most...
Unsupervised learning of hierarchical representations has been one of th...
The Artificial Neural Networks (ANNs) like CNN/DNN and LSTM are not
biol...
Advancing the size and complexity of neural network models leads to an e...