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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Proceedings of the 3rd International Conference Neurobiology of Speech and Language

Scifiya-print, 2019.
Under the general editorship: Shtyrov Y., O. Shcherbakova

Proceedings of the 3rd International Conference Neurobiology of Speech and Language Organised by the Laboratory of Behavioural Neurodynamics, Saint Petersburg State University September, 2019. Edited by Olga Shcherbakova, Yury Shtyrov Saint Petersburg, Russia

Chapters
EEG correlates of false information processing
Martín-Luengo B., Mikhailova L., Seungah L. et al., , in: Proceedings of the 3rd International Conference Neurobiology of Speech and Language.: Scifiya-print, 2019. P. 53–54.
Human memory is not a literal record of our experiences but a fallible and malleable cognitive process. Because of the reconstructive nature of memory, we are often prone to accept false events and recall them as truthful (Bartlett, 1932). One easy and reliable method to create and study false memories in the laboratory is the ...
Added: September 15, 2019
Intensive language-action therapy combined with anodal tDCS leads to verb generation improvements in non-fluent post-stroke aphasia
Ulanov M., Shtyrov Y., Dragoy O. et al., , in: Proceedings of the 3rd International Conference Neurobiology of Speech and Language.: Scifiya-print, 2019. P. 63–64.
Added: November 12, 2019
Differential neural basis for different levels of metacognitive evaluations
Martín-Luengo B., Seungah L., Mikhailova L. et al., , in: Proceedings of the 3rd International Conference Neurobiology of Speech and Language.: Scifiya-print, 2019. P. 90–91.
Metacognitive monitoring is a powerful tool that supports our ongoing cognitive processes (Flavell, 1976). In applied settings, such as when we are trying to learn a new language, monitoring the learning progress may determine the difference between success and failure. One way to measure metacognitive monitoring in relation to learning new material is the so-called ...
Added: September 15, 2019
Predictors of postoperative language outcome in epileptic patients undergoing anterior temporal lobectomy
Stupina E., Artemova A, Zhirnova V. et al., , in: Proceedings of the 3rd International Conference Neurobiology of Speech and Language.: Scifiya-print, 2019. P. 103–104.
Added: October 17, 2019
The role of major associative white matter pathways in language processing
Zyryanov A., Malyutina S., Stupina E. et al., , in: Proceedings of the 3rd International Conference Neurobiology of Speech and Language.: Scifiya-print, 2019. P. 78–79.
Current neuroanatomical models of language processing point to a critical role of white matter tracts in language processing; data on the relation between tracts’ disconnection and the accompanying language deficits are, however, fragmentary. Previous studies show that disconnection of the arcuate fasciculus (AF) impairs language production, whereas damage to the ventral tracts leads to a more ...
Added: October 17, 2019
Priority areas: humanitarian
Language: English
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Keywords: languageneurobiology of language
Proceedings of the 3rd International Conference Neurobiology of Speech and Language
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