What's the meaning of the parameter, "input delay", in Neural network toolkit?

for example, the prototype of 'newlin' is: net = newlin(P,S,ID,LR), where the ID is refered as "input delay", and in help manual we can see the example code as following:

net = newlin([-1 1],1,[0 1],0.01);
P1 = {0 -1 1 1 0 -1 1 0 0 1};
Y = sim(net,P1) 
T1 = {0 -1 0 2 1 -1 0 1 0 1};
[net,Y,E,Pf] = adapt(net,P1,T1); Y

But I still can't understand the funcional use for ID, why in sim and adapt we don't need the ID parameter since it's a part of the network architecture?

What is ID indeed mean?

Answer 1

[Greg Heath]

 ID = [0:1} means 

 y(t+1) = f1(x(t+ID)) = f2(x(t+1),x(t))

Hope this helps.

Greg