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Regular version of the site
2023 Fifth International Conference Neurotechnologies and Neurointerfaces (CNN), 18-20 september.2023

Корякина М. М., Агранович О. Е., Bermúdez-Margaretto B. et al.

IEEE, 2023.

Shimmering emerging adulthood: in search of the invariant IDEA model for collectivistic countries

Yerofeyeva V., Wang P., Yang Y. et al.

Frontiers in Psychology. 2024. No. 15.

Book chapter
Modeling Intermittent Protest Campaigns

Petrov A., Sergey Zheglov, Akhremenko A. S.

In bk.: 16th International Conference Management of large-scale system development (MLSD). IEEE, 2023. Ch. 1. P. 1-5.

Working paper
Stress Resilience (Proprioceptive and Verbal Individual Differences) in Onco-Patients, Sportsmen and Controls

Liutsko L., Malova Y., Vinokurova E. et al.

public health and health services. 20944. MDPI, 2023

The Latest on Human Infants

Professor Emmanuel Dupoux, Paris, Ecole Normale Supérieure (ENS) will visit the HSE Faculty of Psychology for a lecture entitled  ‘Quantitative modeling of early language acquisition’ on November, 15, 2013 (video). He shared a few ideas with the HSE news service and spoke about his research interests.

— What’s the reason for your collaboration with the HSE? How did it start?

— Initially, I met Boris Gutkin, PhD, in Paris at the ENS who told me about the activities taking place in cognitive science at HSE. I am especially interested in the link with mathematics at HSE and by the possibility of developing new collaborations in the area of computational modeling of cognitive processes. 

— What are the current world trends in your field? How does your research reflect them?

— I am heading an ERC funded team interested in bringing together the areas of machine learning and psycholinguistics in order to model the early development of infants. You can find more information on the subject here:www.lscp.net/persons/dupoux/bootphon

— What are you going to present in your lecture in Moscow?

— I will present an overview of the early phases of language acquisition and focus on one area where a modeling approach is currently being conducted using tools of signal processing and automatic speech recognition: the unsupervised acquisition of phonetic categories.  We know that during the first year of life, before they are able to talk, infants construct a detailed representation of the phonemes of their native language and lose the ability to distinguish non-native phonemic contrasts (Werker & Tees, 1984). I will show that the only mechanism that has been proposed so far, unsupervised statistical clustering (Maye, Werker and Gerken, 2002), may not focus on the inventory of phonemes, but rather on contextual allophonic units that are smaller than the phoneme (Varadarajan, 2008).

Alternative algorithms will be presented using three sources of information: the statistical distribution of their contexts, the phonetic plausibility of the grouping, and the existence of lexical minimal pairs (Peperkamp et al., 2006; Martin et al, submitted).  Each of the three sources of information can be acquired without presupposing the others, but they need to be combined to arrive at good performance. I’m going to present some modeling results and experiments in human infants. 

— Are there any definite plans for further cooperation with Russian researchers after the initial lecture?

— Being the head of an interdisciplinary Master's programme in Cognitive Science in Paris, I am very interested in setting up international collaborations and graduate exchanges with Russia.

Anna Chernyakhovskaya, specially for the HSE news service