FISMED / PEOPLE
Grigorii Rashkov
Doctoral Researcher · University of Rome Tor Vergata
BACKGROUND
Biography
Grigorii Rashkov studies the relationship between neural activity and semantic representations, using machine learning to analyse and decode brain signals. His research includes the alignment of EEG, MEG and functional MRI representations for visual decoding. He holds a master's degree in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology. His previous research experience includes the Institute of Higher Nervous Activity and Neurophysiology and the Artificial Intelligence Research Institute in Moscow.
RESEARCH & EXPERTISE
Research interests
- Brain decoding
- Semantic representations
- Multimodal neuroimaging
- Deep learning
RESEARCH OUTPUT
Selected publications
LABORATORIES & RESEARCH
Related research
Explore related research
Connections indicate shared research topics, not authorship or project participation.
Functional MRI · Brain decoding · Deep learning · Machine learning
Related laboratories
Related publications
- Towards neural foundation models for vision: Aligning EEG, MEG, and fMRI representations for decoding, encoding, and modality conversion
- Retrieval-Based Brain Decoding by Alignment, not Complexity
- Retrieving and reconstructing conceptually similar images from fMRI with latent diffusion models and a neuro-inspired brain decoding model