# Fully connected Recurrent Neural Network: question about full connectivity

Here is the picture of RNN

It's said, that hidden layer is fully connected(dash dots). But I don't understand why? For example I don't understand why the one from $$a_3$$ to $$a_1$$ exists. I thought information transfers from hidden state $$a_{t-1}$$ to $$a_{t}$$ and not other way around. Maybe I am confused by terminology.

Can you explain me?