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Anna Zhuravleva

Anna Zhuravleva

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Host, Sustainability Unwrapped

Finl

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Total articles 6

  • Representational dissimilarity component analysis (ReDisCA)

    By Alexei Ossadtchi, Anna Zhuravleva, Oleg Serikov, Ilia Semenkov| bioRxiv@ AbstractThe principle of Representational Similarity Analysis (RSA) posits that neural representations reflect the structure of encoded information, allowing exploration of spatial and temporal organization in brain information processing. Traditional RSA when applied to EEG or MEG data faces challenges in accessing activation timeseries at the brain source level due to modeling complexities and insufficient geometric/anatomical data.

    By Alexei Ossadtchi, Anna Zhuravleva, Oleg Serikov, Ilia Semenkov · bioRxiv

    Feb. 04, 2024

  • Recombinant Fusion Protein Containing Plant Nigellothionin Regulates the Growth of Food-Spoiling Fungus (Aspergillus niger)

    By Anna S. Barashkova, Dmitry Ryazantsev, Anna Zhuravleva, Vladimir V. Sharoyko| MDPI@ Open AccessCommunicationbyAnna S. Barashkova 1,2, Dmitry Yu. Ryazantsev 1, Anna S. Zhuravleva 3, Vladimir V. Sharoyko 4 and Eugene A.

    By Anna S. Barashkova, Dmitry Ryazantsev, Anna Zhuravleva, Vladimir V. Sharoyko · MDPI

    Aug. 09, 2023

  • Representational dissimilarity component analysis (ReDisCA)

    By Alexei Ossadtchi, Anna Zhuravleva, Oleg Serikov, Ilia Semenkov| bioRxiv@ AbstractThe principle of Representational Similarity Analysis (RSA) posits that neural representations reflect the structure of encoded information, allowing exploration of spatial and temporal organization in brain information processing. Traditional RSA when applied to EEG or MEG data faces challenges in accessing activation timeseries at the brain source level due to modeling complexities and insufficient geometric/anatomical data.

    By Alexei Ossadtchi, Anna Zhuravleva, Oleg Serikov, Ilia Semenkov · bioRxiv

    Feb. 04, 2024

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Sustainability Unwrapped

Helsingfors, Finland

+358 6 3533700