Michael D. Nunez's repositories
pyhddmjags
Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for using JAGS with pyjags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in Python.
PIPS_course
Programming in Psychological Science course. This repository contains materials for a R + Python intro course.
mcntoolbox
The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters."
bayesflow_nddms
Repository for fitting Drift-Diffusion models with identifiable within-trial noise parameters in Python using BayesFlow
artscreenEEG
MATLAB repository to perform basic artifact correction and analysis on electroencephalographic (EEG) data
encodingN200
Python and JAGS code and data associated with publication, "The latency of a visual evoked potential tracks the onset of decision making" (2019)
electroencephalopy
electroencephalopy (EEP) - A repo containing simple Python scripts for EEG analysis using numpy and scipy
RPDecision
MATLAB & JAGS Code associated with the paper "Timing of readiness potentials reflect a decision-making process in the human brain" (2020, Computational Brain & Behavior)
bayesutils
Utilities for exploration of convergence and graphical posterior estimation of pystan and pyjags output.
BayesFlow
A Python library for amortized Bayesian workflows using generative neural networks.
mne-python
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
PIPS_class_example
This is a R respository that serves as an example for the PIPS 2022 course at the UvA.
PIPS_class_example2
This is the second example
sc-inactivation-project
Code associated with Jun et al. (2021) "Causal role for the primate superior colliculus in the computation of evidence for perceptual decisions"