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 ...

One example would be to teach a neural network to convert printed text to speech. Here, one could pick several articles from a newspaper and generate hundreds of training pairs—an input and its ...

In the conventional neural network, the input words and phrases ... I think we have a good place to understand the structure of , and we can improve it with training in the future.

and Assistant Professor ISHIHARA Toru from Kobe University's Graduate School of Human Development and Environment has illuminated the changes in the brain's neural network and cortex structure ...

The two scientists learned that a recurrent neural network structure, or RNN, is responsible for decision-making, expressive language and voluntary movement in the brain’s frontal cortex. (Zhaojie ...