A Neurocognitive Model of Parsing

I think the best paper I've written is A psycholinguistic model of natural language parsing implemented in simulated neurons (2009).
It's not the best cognitive model of parsing, but, I'm pretty sure, it's the best neural model.
It resolves prepositional phrase attachment ambiguity.
It parses in the right time.
It uses (engineered) recurrent nets of spiking neurons.
It binds with short term potentiation.
It's got a nice box diagram of networks to function based on processing domains that links in with work from Jackendoff.
Let me be clear that it doesn't match (anything close to) one to one to the neurons used by humans on the same task.
I don't think anyone has a good idea of how those neurons actually work, so my model is a good step. (I'm thinking about putting in episodic memory to get back to working on parsing.)