Josh Koen (jdkoen)

jdkoen

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Company:University of Notre Dame

Twitter:@joshuadkoen

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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/

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eBOSC_py

extended Better Oscillation Detection method, implemented in python

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mne-faster

Automatic EEG bad channel/epoch/ICA-component detection using FASTER

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pyedfread

A library to parse SR research EDF files into python.

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ORCA

The Oscillatory Reconstruction Algorithm (ORCA)

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awesome-mne

A curated list of awesome MNE tutorials, projects and communities.

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cs-for-psych

Course materials for PSYC 132: Introduction to Programming for Psychological Scientists

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pyedflib

pyedflib is a python library to read/write EDF+/BDF+ files based on EDFlib.

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ERP-beamformer

A beamformer filtering approach to ERP analysis. Used in van Vliet et al. TBME, 2016

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omission_frontiers

Code for omission frontiers

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mne_microstates

Microstate analysis for use with MNE-Python

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neuroscience_tutorials

Some tutorials for students of neuroscience

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mne-rsa

Representational Similarity Analysis on MEG and EEG data

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emergent

Biologically based neural network simulations of the brain written in Go with a 3D GUI powered by Cogent Core.

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cheatsheets

Official Matplotlib cheat sheets

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binorg_decoding

Bin-Organized Decoding (edit Bae&Luck, 2018).

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ptsa

PTSA - Python Time Series Analysis

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mne-workshops

A collection of workshop materials.

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templateexperiments

This is scaffolding for building cognitive experiments in psychopy

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IEM-tutorial

tutorial and example scripts for implementing inverted encoding model analysis framework

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datamatrix

An intuitive, Pythonic way to work with tabular data

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CDL-tutorials

Repo containing useful tutorials on different topics, methods, software tools, and packages used by the CDL

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leabra7

A Python package for simulating recurrent, biologically-realistic neural networks

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Leabra7-CLS-Modeling

CLS modeling in Daniel Greenidge's Python Adaptation of Leabra Algorithm from Emergent 7

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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

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psyc161

An Introduction to Programming for Psychologists & Neuroscientists Course at Dartmouth PBS

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CapstoneProject

SMU Capstone Project for Data Science

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TreeBUGS

R package for fitting hierarchical multinomial processing tree (MPT) models

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