Andrea Cometa

Keywords vision minimally recognizable configurations electrocorticography stereo EEG human neurophysiology object perception top-down signals computational models of vision Research topic(s) CP: Neuroscience Introduction Visual object recognition is robust to an extensive range of image transformations that produce different retinal projections of the same stimulus.1,2 For example, we can easily recognize an object when presented in a wide range of positions, scales, or viewpoints.3,4 A...

Abstract Acoustic, lexical and syntactic information is simultaneously processed in the brain. Therefore, distinguishing the electrophysiological activity pertaining to these components requires complex and indirect strategies. Capitalizing on previous works which factor out acoustic information, we could concentrate on the lexical and syntactic contribution to language processing by testing competing statistical models.

1. Introduction The most significant feature of natural language syntax is the existence of abstract hierarchical structure. Linguistic expressions have abstract hierarchical structures, and those structures do matter. The human language faculty systematically makes use of hierarchical structure instead of, say, adjacency (being “closest” in terms of linear order), which seems to be a more easily accessible relation. Consider the following elementary phenomenon in English. (1) a.