Visual linguistic statistical learning is traceable through neural entrainment.

The human brain can detect statistical regularities in the environment across a wide variety of contexts. The importance of this process is well-established not just in language acquisition but across different modalities; in addition, several neural correlates of statistical learning have been identified. A current technique for tracking the emergence of regularity learning and localizing its neural background is frequency tagging (FT).

Just a mark: Diacritic function does not play a role in the early stages of visual word recognition.

A very common feature in most writing systems is the presence of diacritics: distinguishing marks that are added for various linguistic reasons. Most models of reading, however, have not yet captured the nature of these marks. Recent priming experiments in several languages have attempted to resolve how diacritical letters are represented in the visual word recognition system.

Can rotated words be processed automatically? Evidence from rotated repetition priming.

Visual word processing has its own dedicated neural system that, due to the novelty of this activity, is unlikely to have acquired its specialization through natural selection. Understanding the properties of this system could shed light on its recruitment and the background of its disorders. Although recognition of simple visual objects is orientation invariant, this is not necessarily the case for written words.