Example workflows from Nipype 1.x

Analyze and manipulate EEG data using PyEEGLab.

I/O support for EEGLAB files in Python.

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats

A simple R package for calculating (meta-) SDT measures

An R package for processing and plotting of electroencephalography (EEG) data

A Jupyter Lab extension for keyboard text shortcuts

Learn Nipype with these tutorial notebooks - go here to see them online -->

Data and code for paper titled "Sensory noise increases metacognitive efficiency" by Bang, Shekhar, & Rahnev.

Data and code for paper "Confidence leak in perceptual decision-making"

Data and code for paper titled "Stimulus expectation alters decision criterion but not sensory signal in perceptual decision making" by Bang & Rahnev.

Code for the Tuned Inhibition simulations of Maniscalco, Odegaard, Grimaldi, Cho, Basso, Lau, & Peters 2021 PLOS Comp Bio

An R package implementing computational models of Eriksen flanker task performance.

Easily add significance brackets to your ggplots

Flexible DICOM conversion into structured directory layouts

Python tools for querying and manipulating BIDS datasets.

Validator for the Brain Imaging Data Structure

code related to the OpenFMRI project

A collection of useful .gitignore templates

This repository contains the files that generate Andy's Brain Book on ReadTheDocs.

User friendly assertions for R

Differential evolution in R

dRiftDM

Python Bootcamp

dataset | working memory, error monitoring, and social anxiety

analysis | THRIVE theta ddm

analysis | modeling post-error behaviors to examine individual differences

Code for ANTS book (Cohen, 2012, MIT Press)

Repository for Fall 2022 FIU CAP 5602 Artificial Intelligence.