Výsledky vyhledávání - "Julia Berezutskaya"

Akademický článek

Boosting brain–computer interfaces with functional electrical stimulation: potential applications in people with locked-in syndrome

Autor: Evan Canny, Mariska J. Vansteensel, Sandra M. A. van der Salm, Gernot R. Müller-Putz, Julia Berezutskaya

Publikováno v: Journal of NeuroEngineering and Rehabilitation, Vol 20, Iss 1, Pp 1-23 (2023)

Abstract Individuals with a locked-in state live with severe whole-body paralysis that limits their ability to communicate with family and loved ones. Recent advances in brain–computer interface (BCI) technology have presented a potential alternati

Externí odkaz: https://doaj.org/article/4c9bf1c721a04b9f8fe351d197516064

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Akademický článek

Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film

Autor: Julia Berezutskaya, Mariska J. Vansteensel, Erik J. Aarnoutse, Zachary V. Freudenburg, Giovanni Piantoni, Mariana P. Branco, Nick F. Ramsey

Publikováno v: Scientific Data, Vol 9, Iss 1, Pp 1-13 (2022)

Measurement(s) brain activity measurement Technology Type(s) Intracranial EEG • functional magnetic resonance imaging Factor Type(s) Short audiovisual film stimulus Sample Characteristic - Organism Homo sapiens

Externí odkaz: https://doaj.org/article/7a569d9890d048dba1971152d4b49e2c

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Akademický článek

Brain-optimized extraction of complex sound features that drive continuous auditory perception.

Autor: Julia Berezutskaya, Zachary V Freudenburg, Umut Güçlü, Marcel A J van Gerven, Nick F Ramsey

Publikováno v: PLoS Computational Biology, Vol 16, Iss 7, p e1007992 (2020)

Understanding how the human brain processes auditory input remains a challenge. Traditionally, a distinction between lower- and higher-level sound features is made, but their definition depends on a specific theoretical framework and might not match

Externí odkaz: https://doaj.org/article/a9c5b52a70dd45af8ef8d9a30990191d

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Mapping Acoustics to Articulatory Gestures in Dutch: Relating Speech Gestures, Acoustics and Neural Data

Autor: Paolo Favero, Julia Berezutskaya, Nick F. Ramsey, Aleksei Nazarov, Zachary V. Freudenburg

Publikováno v: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 802-806. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE)
STARTPAGE=802;ENDPAGE=806;TITLE=2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 802-806

Contains fulltext : 285042.pdf (Publisher’s version ) (Open Access) Completely locked-in patients suffer from paralysis affecting every muscle in their body, reducing their communication means to brain-computer interfaces (BCIs). State-of-the-art B

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46abf3bc76275f06d512f988c9bce767
https://pubmed.ncbi.nlm.nih.gov/36085697

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Direct Speech Reconstruction from Sensorimotor Brain Activity with Optimized Deep Learning Models

Autor: Julia Berezutskaya, Zachary V. Freudenburg, Mariska J. Vansteensel, Erik J. Aarnoutse, Nick F. Ramsey, Marcel A.J. van Gerven

Development of brain-computer interface (BCI) technology is key for enabling communication in individuals who have lost the faculty of speech due to severe motor paralysis. A BCI control strategy that is gaining attention employs speech decoding from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d3a063d5160e24bfcc4204072da6b69
https://doi.org/10.1101/2022.08.02.502503

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Data-driven modeling of the neural dynamics underlying language processing

Autor: Julia Berezutskaya

In this thesis, we use data-driven techniques in an attempt to explain the neural data during speech and language perception in unconstrained naturalistic setup. We aim to use a combination of data exploration approaches and data-driven feature extra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::846e1832091f1164ab3d516ec5366f0f
https://hdl.handle.net/1874/397500

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High-density intracranial recordings reveal a distinct site in anterior dorsal precentral cortex that tracks perceived speech

Autor: Zachary V. Freudenburg, Julia Berezutskaya, Clarissa Baratin, N.F. Ramsey

Publikováno v: Human Brain Mapping, 41, 16, pp. 4587-4609
Human Brain Mapping, 41, 4587-4609
Human Brain Mapping

Various brain regions are implicated in speech processing, and the specific function of some of them is better understood than others. In particular, involvement of the dorsal precentral cortex (dPCC) in speech perception remains debated, and attribu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76bd9db25860dad3351e92429d421529
https://hdl.handle.net/2066/222440

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Brain-optimized extraction of complex sound features that drive continuous auditory perception

Autor: Zachary V. Freudenburg, Marcel A. J. van Gerven, Umut Güçlü, Julia Berezutskaya, Nick F. Ramsey

Publikováno v: Plos Computational Biology, 16
PLOS Computational Biology
Plos Computational Biology, 16, 7
PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 7, p e1007992 (2020)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbb7f5959f60eb2becf5844d81356e6f
http://hdl.handle.net/2066/220288

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Cortical network responses map onto data-driven features that capture visual semantics of movie fragments

Autor: Nick F. Ramsey, Zachary V. Freudenburg, Julia Berezutskaya, Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven

Publikováno v: Scientific Reports, 10
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-21 (2020)

Contains fulltext : 221394.pdf (Publisher’s version ) (Open Access) Research on how the human brain extracts meaning from sensory input relies in principle on methodological reductionism. In the present study, we adopt a more holistic approach by m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::293999d50a5fd59ca16a9379bdc0cefb
http://hdl.handle.net/2066/221394

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