So think of noise, like static on the radio. You'd think that generally that static would drown out the signal, especially when the signal is weak. So contrary to what you'd think, in some situations noise makes the signal clearer. Turns out that adding noise (visual noise) to challenging images where it's hard to discern what's pictured (simple things like letters, not artwork) makes it easier to detect the image. But in this experiment they observed that for autistic folk that tended not to be the case. The hypothesis is that we already have noise in our brain at a higher level than NTs and that already helps us discriminate using the above noise concept.
Personal thoughts: this might shed some light on why we receive so much information from our environments. We are just excellent at this technique of neural noise helping filter signals. It also fits with the concept of the brain actually being a prediction engine that needs to know whether to favour the prediction or observation when they don't agree and how autistic people tend to rely more on sensory/observation than their prediction model. If autistic people are more sensitive to the signals, these signals will play a larger role in our judgments. We might literally be spotting more patterns as NDs and trying to process these, while NTs are just going along more with what they predict in a situation. E.G. in a social situation we might actually be over-observing interactions, etc. and trying to work out how it all fits together, whereas an NT might be operating as "we're having a chat and this is how that works typically".
Interesting stuff.