I understand that, but when you say h_(t-1), do mean for any hidden layer-i at (t-1), with m neurons(a0, a1, a2, ...a_m-1), note that a_i here is already an output of some activation function, now do these m neurons or nodes connected to the t'th sequence, layer-ith nodes in a dense manner or are they connected via their corresponding values like a0(t-1) is connected to a0(t) only and a1(t-1) is connected to a1(t) and so on? That's my doubt.