Recurrent Neural Networks are artificial neural networks designed to handle sequential data like text, speech or financial records.

But the use of recurrent neural networks is not limited to text and language processing. RNNs can be applied to any type of sequential data.

A recurrent neural network structure exists in the most important part of the brain -- the frontal cortex -- and this network is less complex than has been thought and mostly unidirectional, new ...

A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing ...