Posters and Talks

Temporal Dynamics of lexical and semantic features of spoken words: an MEG study

Date: 

July, 2019

Venue: 

Salzburg Mind-Brain Annual Meeting (SAMBA 2019), July 11-12, 2019

The temporal dynamics of spoken word recognition are highly debated. While some studies suggest serial processing of sublexical and lexico-semantic information (e.g., Kocagoncu et al., 2017), others reported parallel processing since early stages (e.g., Lewis & Poeppel, 2014). The current study employed multiple linear regression to predict MEG-evoked responses in 20 native Italian speakers during the semantic judgment of 438 Italian spoken words.

Morphological priming of inflectional suffixes

Date: 

June, 2019

Venue: 

The 12th Mediterranean Morphology Meeting (MMM12), Ljubljana, 27-30 June 2019

Temporal Dynamics of lexical and semantic features of spoken words: an MEG study

Date: 

May, 2019

Venue: 

Rovereto Workshop on Concepts, Actions, and Objects: Functional and Neural Perspectives, May 2-4, 2019

The temporal dynamics of spoken word recognition are highly debated. While some studies suggest serial processing of sublexical and lexico-semantic information (e.g., Kocagoncu et al., 2017), others reported parallel processing since early stages (e.g., Lewis & Poeppel, 2014). The current study employed multiple linear regression to predict MEG-evoked responses in 20 native Italian speakers during the semantic judgment of 438 Italian spoken words.

Temporal dynamics of lexical and semantic features of spoken words

Date: 

March, 2019

Venue: 

Cognitive Neuroscience Society (CNS) Annual Meeting, San Francisco, 26-29 March 2019

Temporal dynamics of spoken word recognition: an MEG study

Date: 

February, 2019

Venue: 

Giornate di studi sperimantali sul linguaggio SSSL 2019, 11-12 Febbraio 2019

Discovering Lexicon’s Statistical Structure Contributes to Word Learning

Date: 

November, 2018

Venue: 

59th Annual Meeting Psychonomic Society. New Orleans, 15-18 November 2018

Learners detect probabilistic regularities in linguistic materials (Saffran & Kirham, 2018). In two experiments, we tested if this ability is active in reading and may underlie word learning. Italian speakers were shown letter strings and instructed to distinguish between novel words and foil distractors. Participants successfully detected that novel words complied with the statistics of Italian lexicon, and used this information to perform the task. Interestingly, among the several possible variables, they relied particularly on single bigram frequency.

From Letters to Words, Through Bigrams

Date: 

November, 2018

Venue: 

59th Annual Meeting Psychonomic Society. New Orleans, 15-18 November 2018

The proposal of bigram frequencies playing a role in reading can be traced back to the late 60s, and has recently received support from neuroimaging studies. But despite 50 years of research, the behavioral literature shows conflicting results. Here we present a new paradigm that by using an artificial script, recreates the process of learning word forms from scratch and attains a tight control of confounding factors that otherwise arise due to our lifelong experience with reading.

The Reading Brain as a Statistical Learning Machine

Date: 

September, 2018

Venue: 

Heriot Watt University

We read texts at 300 words per minute, capture information about around 15 letters during each fixation, and access meaning from visual words in less than 40ms, with no need for awareness—these are all incredible feats for a machine with no biological endowment for visual word processing, such as our brain. [...]

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