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Michael D. Nunez's Projects

artscreeneeg icon artscreeneeg

MATLAB repository to perform basic artifact correction and analysis on electroencephalographic (EEG) data

bayesflow icon bayesflow

A Python library for amortized Bayesian workflows using generative neural networks.

bayesflow_nddms icon bayesflow_nddms

Repository for fitting Drift-Diffusion models with identifiable within-trial noise parameters in Python using BayesFlow

bayesutils icon bayesutils

Utilities for exploration of convergence and graphical posterior estimation of pystan and pyjags output.

chartr icon chartr

CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks

electroencephalopy icon electroencephalopy

electroencephalopy (EEP) - A repo containing simple Python scripts for EEG analysis using numpy and scipy

encodingn200 icon encodingn200

Python and JAGS code and data associated with publication, "The latency of a visual evoked potential tracks the onset of decision making" (2019)

erpiqrt icon erpiqrt

Individual differences in cognitive abilities are predicted by cortical processing speed: A model-based cognitive neuroscience account

mcntoolbox icon 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."

mne-python icon mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

npmk icon npmk

Neural Processing Matlab Kit is a set of functions for loading and manipulating data from Blackrock Microsystems' data files (.CCF, .NEV, .NSx).

pips_class_example icon pips_class_example

This is a R respository that serves as an example for the PIPS 2022 course at the UvA.

pips_course icon pips_course

Programming in Psychological Science course. This repository contains materials for a R + Python intro course.

pyhddmjags icon 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.

rpdecision icon 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)

sc-inactivation-project icon 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"

sozhfo icon sozhfo

Python, MATLAB, and JAGS code associated with the preprint, "Beyond rates: Time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone." (2021)

stan icon stan

Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

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