Josh Koen's starred repositories
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI đź”— https://microsoft.github.io/generative-ai-for-beginners/
mne-faster
Automatic EEG bad channel/epoch/ICA-component detection using FASTER
awesome-mne
A curated list of awesome MNE tutorials, projects and communities.
cs-for-psych
Course materials for PSYC 132: Introduction to Programming for Psychological Scientists
ERP-beamformer
A beamformer filtering approach to ERP analysis. Used in van Vliet et al. TBME, 2016
omission_frontiers
Code for omission frontiers
mne_microstates
Microstate analysis for use with MNE-Python
neuroscience_tutorials
Some tutorials for students of neuroscience
cheatsheets
Official Matplotlib cheat sheets
binorg_decoding
Bin-Organized Decoding (edit Bae&Luck, 2018).
mne-workshops
A collection of workshop materials.
templateexperiments
This is scaffolding for building cognitive experiments in psychopy
IEM-tutorial
tutorial and example scripts for implementing inverted encoding model analysis framework
datamatrix
An intuitive, Pythonic way to work with tabular data
CDL-tutorials
Repo containing useful tutorials on different topics, methods, software tools, and packages used by the CDL
Leabra7-CLS-Modeling
CLS modeling in Daniel Greenidge's Python Adaptation of Leabra Algorithm from Emergent 7
omission_frontiers
Analysis scripts for group analysis of MEG data in both Python and MATLAB associated with Andersen, L.M., 2018. Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Representations to an across-Group Source Space Representation. Front. Neurosci. 12. https://doi.org/10.3389/fnins.2018.00006 and Andersen, L. M. Group Analysis in FieldTrip of Time-Frequency Responses: A Pipeline for Reproducibility at Every Step of Processing, Going From Individual Sensor Space Representations to an Across-Group Source Space Representation. Front. Neurosci. 12, (2018). https://10.3389/fnins.2018.00261
CapstoneProject
SMU Capstone Project for Data Science