Serial and parallel neural network The question is:  can exist a parallel or serial neural network or someone talked about this?
For explanation, in the network a single record in a data set enter in the input layer as a value between 0 and 1, but, could i interpretate the value parallely as an array of bits (so i need an input layer as large as the number of bits composing the value) or even serially? or this is a bad technic?

Imagine a number (es. 5) that is interpretated as an n-bits values (101) in a 3-way input layer instead of a degree (0,?) in a 1-way input layer.

I'm a novice in neural network and the question could be stupid. Sorry if it is.
Yes, of course you could do that.  Whether it is useful will depend on the task.  I'd suggest spending some quality time on tutorials/classes on neural networks, and then spend some time experimenting with different network architectures to see how the choice of feature vector affects the performance of the network.