sequential signal patterns vs. parallel signal patterns

Recently I was visiting one very interesting thread.

There you can find a lot of information about neural net applications for Metatrader. I had also  some very interesting  private discussions and I have invited  some contributors and I am glad that they came at the traders' social network  beathespread.com.

It is really important to join the efforts. By the joined effort too much has been achieved by now. And it is not necessary to be an expert.

 http://www.trade2win.com/boards/metatrader/85780-build-neural-network-indicator-mt4-using-neuroshell.html

In the beginning of the thread you can find an interesting link which has inspired arriex for the whole thread. I was looking from other perspective to the same article  at tradertek

http://www.tradetrek.com/Education/w...n5forecast.asp

"neural network model that performs better than the human brain at recognizing "sequential signal patterns" such as stock prices, whereas the human brain is better at recognizing "parallel signal patterns"—the human eye can easily tell a picture of a tiger from a picture of a cat."

That is why I worked on elliottware and market state analysis. The human mind is very good at detecting market state changes "parallel signal patterns". What are those "parallel signal patterns" that we as humans can find it is all about that in the group of elliotware and market state analysis.