Anastasia Brovkin

Anastasia Brovkin
University Medical Center Hamburg - Eppendorf · Department of Computational Neuroscience

MSc Neuroimaging: Methods and Applications
PhD Candidate Computational Neuroscience

About

5
Publications
2,048
Reads
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22
Citations
Introduction
Computational Cognitive Neuroscientist currently focused on brain simulation & enrichment of human brain connectomic models via cytoarchitecture. With postgraduate training in (1) Cybernetics {Systems Engineering, Reading} (2) Neuroinformatics and Cognitive Science {Informatics, Edinburgh} (3) Neuroimaging: Methods and Applications {CUBRIC, Cardiff} Previously Research Assistant in Psychiatry {Charite, Berlin} Original background in Neuroscience and Psychology {Medical Sciences, Aberdeen}. Interdisciplinary by nature. Human Brain Project funded PhD candidate.
Additional affiliations
July 2020 - July 2020
Neuromatch Academy
Position
  • Research Assistant
Description
  • https://neuromatch.io/academy/ 1 of ~185 Teaching Assistants (teaching ~2,000 students world-wide) at the International online summer school in Computational Neuroscience (competitive selection). Duties: teaching python programming, machine learning, deep learning and application of statistical methods to multimodal neural data.
June 2018 - present
University Medical Center Hamburg - Eppendorf
Position
  • PhD Student
February 2017 - February 2018
Charité Universitätsmedizin Berlin
Position
  • Research Assistant
Description
  • Research Division: Mind and Brain
Education
June 2018 - March 2023
University Medical Center Hamburg - Eppendorf
Field of study
  • Computational Neuroscience
September 2015 - September 2016
Cardiff University (CUBRIC)
Field of study
  • Neuroimaging: Methods and Applications (School of Psychology)
September 2013 - August 2014
The University of Edinburgh
Field of study
  • Cognitive Science (School of Informatics)

Publications

Publications (5)
Article
Science and art have been intertwined for centuries, as both embody means for humans to represent, communicate, and interpret our external and internal worlds. The collective effort to gather and organize knowledge about the brain blends well with a wide array of human creative activities, from visual and performing arts to interactive media. It th...
Preprint
Science and art have been intertwined for centuries, both representing means for humans to represent, communicate and interpret our external and internal worlds. Our collective effort to gather and organize knowledge about the brain blends well with a wide array of human creative activities, from visual and performing arts to interactive media. It...
Article
The interoceptive inference framework suggests that our brain continuously anticipates future states of our body and aims to avoid events that might counteract homeostasis by minimizing prediction errors through active inference; e.g. appropriate actions. If predicted interoceptive models are inaccurate, behavior inconsistent with our long-term hom...
Preprint
Full-text available
Latest pre-print for GraphVar 2.0. MATLAB based toolbox with user friendly GUI. Statistical and machine learning analyses on functional connectivity measures.
Article
Full-text available
Background: We previously presented GraphVar as a user-friendly MATLAB toolbox for comprehensive graph analyses of functional brain connectivity. Here we introduce a comprehensive extension of the toolbox allowing users to seamlessly explore easily customizable decoding models across functional connectivity measures as well as additional features....

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