submission to Kaggle Challenge (MLSP 2014) - 6-th position
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Updated
Apr 19, 2020 - Jupyter Notebook
submission to Kaggle Challenge (MLSP 2014) - 6-th position
This repository contains some codes for the computational neuroscience.
Pain; Neurosynth; MVPA; Mediation
Code for importing/preprocessing/analysing wavepain MRI and behavioural data. And plotting routines.
Project for BrainHack School 2023
Package to create group-averaged functional connectivity map for a list of ROI coordinates
Some matlab functions to use with some of the output from the CBS tools
R package for Multi-Subject Multiscale Analysis of fMRI Data, or Other Multiscale Data
A Python notebook that contains pre-built functions to load, manipulate and analyze data from the Algonauts 2021 Mini-Track dataset.
This is a neural data science project to investigate relationships between music and depression using Neural Data Science Techniques
“Plasma p-Tau181 and GFAP track 7T MR-based changes in Alzheimer’s disease”, Göschel L, 2023
Solution for CNI Machine Learning Challenge
code for the CPPL participation to NARPS
This is a Work In Progress (WIP) project. It is part of my undergraduate studies in Biomedical Engineering at Ostbayerische Technische Hochschule in Germany. This repository incorporates the code and results of my participation in the course Data Science Projects: Train you own Machine Learning Model.
Construction of functional network from fMRI tasked-based data
An analysis of representations of computer programs learned by ML models and those seen in our brains
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