Alessandro Tavano

The paper investigates how prior knowledge influences syntactic processing in the human brain using MEG and linguistic corpora, revealing two distinct computational regimes for parsing syntax.

The paper presents a scalable EEG hyper-scanning system for recording audience brain activity using low-cost components and custom software, achieving robust data alignment and performance in both lab and cinema settings.

The paper shows that eye movement sampling rates during reading align with speech production rates across languages, with variations linked to writing system complexity.

The paper investigates how the relative timing and position of sequential events affect time perception, finding that shorter first events cause distortions, which are mitigated by longer intervals only when the constant event is first.

This study shows the human brain distinguishes native and nonnative speech within 100 ms using alpha band phase coherence, achieving 90% decoding accuracy.

The paper investigates whether neural rhythms reflect internal syntactic processes by analyzing EEG and behavioral data from participants listening to grammatical and ungrammatical sentences.

The paper shows that pre-stimulus low beta-band power predicts response times to uncertain future events, reflecting perceived temporal probabilities.