This reminds me of an idea I had when I was a freshman in college, in 2004 - 2005. I proposed a research project based on generalizing Markov chat bots to amplitude waves through neuron-like nodes. Basically, instead of discretely recognizing A -> B -> C but not A -> C -> B, the idea is the Markov node (or neuron) structure learned would respond with a sine-wave shaped pulse that initially rises and then goes negative, so that a chain of nodes "A -> B -> C" would still respond to a slightly out-of-order or different sequence, just not as strongly.

Initially my undergraduate CS advisor was excited by my idea, but only, it turned out, in the context of using it in genetic sequencing (because buzzwords). I gave him my honest opinion that adding my contrivance could only perform worse that existing genetic sequencing algorithms; my intent was to propose and investigate a way the brain might reasonably be recognizing language. He was entirely uninterested in this, and I got too busy with college / work and never developed the idea beyond a toy demo. Maybe I should look at it again...