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zavesone/README.md

Hi πŸ‘‹ I'm Fedor Kostin!

About Me πŸ‘¨β€πŸ’»

I'm a Software Developer with a strong focus on neuroscience and machine learning applications. I specialize in developing tools and algorithms for neurofeedback, EEG data analysis, and building community-driven applications.

Field of interests:AI & ML & DL in EEG signal processing, neurofeedback, non-invasive neuromodulation, 3d graphics

Projects πŸš€

Neuroscience & ML

  • Low Delay Neurofeedback - A low delay neurofeedback implementation using Timeflux, based on research about short-delay neurofeedback training of parietal alpha rhythm
  • GED PAC WM Predictive Model - Demonstration of a predictive model for working memory performance using generalized eigen decomposition phase amplitude coupling from EEG data

Community Tools

  • LectureRadar - Telegram bot for discovering and managing scientific lectures in Moscow
    • Personalized event notifications
    • Meetup organization features
    • Random coffee matching system for finding lecture companions

3D Graphics

Blender Marvelous Designer Fusion 360 Plasticity 3D Unreal Engine Character Creator Daz3D Quixel Bridge Marmoset Toolbag Substance Painter Substance Designer

Design & UI/UX & Web Dev

Webflow Premiere Pro Figma Adobe Illustrator Adobe Photoshop Adobe After Effects WordPress WooCommerce Elementor

Neuroscience & Signal Processing

MATLAB MNE-Python FreeSurfer SPM EEGLAB ERPLAB CAT12 EDF Browser BrainStorm

Neurofeedback Software 🧠

Tools & Development misc

VS Code git Jupyter Ubuntu PostgreSQL Arduino Docker Kubernetes Python PyTorch Scikit Learn

Certifications & Education πŸ“š

Certificate Name Institution Field Work Period
Computational Psychiatry Course University of Zurich Neuroscience Sep 2024
Summer School on Hybrid Neural Interfaces HybridNeuro BCI Jul 2024
BCI & NEUROTECHNOLOGY SPRING SCHOOL g.tec BCI May 2024
Spring School "New generation of neurointerfaces" HSE BCI May 2024
BCN24: Brain Activity Analysis HybridNeuro Neuroscience Feb 2024
Neurotechnology Spring School g.tec BCI Jan 2023
Neuromatch Academy Neuromatch Computational Neuroscience Jul 2023
Deep Learning with Python & PyTorch Udemy ML Nov 2024
PCA & Multivariate Signal Processing Udemy Signal Processing Oct 2024
Complete Neural Signal Processing Udemy Signal Processing Nov 2023
Deep Understanding of Deep Learning Mike X Cohen ML May 2023
MATLAB Onramp MathWorks Signal Processing Dec 2022
Docker & Kubernetes: Complete Guide Udemy DevOps Apr 2024
Django Application Development with SQL IBM Development Apr 2023
Tools for Data Science IBM Data Science Feb 2023
Unreal Engine 5 Complete Course Udemy Game Dev May 2023

View full list of 60+ certifications on LinkedIn

Connect With Me 🀝

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  1. GED_PAC_WM_PREDICTIVE_MODEL GED_PAC_WM_PREDICTIVE_MODEL Public

    This is a demo of the predictive model of the working memory performance from the generalized eigen decomposition phase amplitude coupling values extracted from the EEG data

    Jupyter Notebook 1

  2. NLR_Schizophrenia_posthoc_analysis NLR_Schizophrenia_posthoc_analysis Public

    Jupyter Notebook