Name: Ilkay Isik
Type: User
Company: Max Planck Institute for Empirical Aesthetic
Bio: Learning and coding, mostly in Python, R
Location: Frankfurt am Main
Blog: https://ilkayisik.github.io
Ilkay Isik's Projects
Conduction of an A/B test for a library webpage by using a click through rate metric and Chi Square test
This repository contains the analysis scripts that are used in dynamics of aesthetic enjoyment project
Afford project data analysis scripts
Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets
Configurable Pipeline for the Analysis of Connectomes
create spotify playlists using unsupervised machine learning
Dummy Website for WBSCS project
fmriflows is a consortium of many (dependent) fMRI analysis pipelines, including anatomical and functional pre-processing, univariate 1st and 2nd-level analysis, as well as multivariate pattern analysis.
fMRIprep is a functional magnetic resonance image pre-processing pipeline that is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input, while providing easily interpretable and comprehensive error and output reporting.
How to create fancy GIFs from an MRI brain image
Website and projects for the OHBM Hackathon in Rome 2019
A flexible DICOM converter for organizing brain imaging data into structured directory layouts
Repository for my personal page: https://ilkayisik.github.io/
Martin Lindquist's dynamic correlation toolboxes. Designed for fMRI analysis, useful for other applications too.
Scripts that I created-used during my bachelor master studies
analysis scripts that is used to analyse NARPS data
Nipype implementation of BetaSeries Correlations (Alpha)
Convenient command-line wrapper for nilearn's Masker objects
Workflows and interfaces for neuroimaging packages
Learn Nipype with these tutorial notebooks - go here to see them online -->
Modeling and statistical inference on fMRI data in Python
For running psychology and neuroscience experiments
Automatized creation of functional region of interests
Creating an automated data pipeline both locally and on the cloud using Python, SQL and AWS