lei-zhang

BayesCog_Wien

Teaching materials for BayesCog at Faculty of Psychology, University of Vienna

COSN_webinar

Tutorial talks at the Chinese Open Science Webinar series

socialRL

Code and data for Zhang, Lengersdorff et al. (2020)

BayesCog_v0.2

SIT

Code and data for Zhang & Gläscher (2020)

BayesCog_Part1

Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).

talks_and_workshops

BayesCog_Part2

Teaching materials for BayesCog workshop, UKE Hamburg (Part 2).

tewa1_univie

RL_tutorial_materials

inits

rl_cmdstanr

Mini tutorial on {cmdstanr} for the simple Rescorla-Wagner RL model

BayesCog_v0.1

machine_learning_complete

A comprehensive repository containing 30+ notebooks on learning machine learning!

SIT_TMS

cheatsheets

Official Matplotlib cheat sheets

DABEST-Matlab

MATLAB package to generate contrast plots

helpful_stan_functions

MoralStrategiesFMRI

Code accompanying the manuscript: Van Baar, J., Chang, L., & Sanfey, A.G. (in press). The computational and neural substrates of moral strategies in social decision-making. Nature Communications.

PPCs

stan-examples

Example Stan models for inspiration.

course-content

Summer course content for Neuromatch Academy

Deep_learning_fMRI_EEG

Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing

isc-tutorial

Intersubject correlation (ISC) tutorial

massmail

Script to send mass mail

MediationToolbox

Single-level and multi-level mediation analyses for any kind of data, with bootstrap-based significance testing. Neuroimaging-oriented functions allow for mediation effect parametric mapping (mapping of mediation effects across the brain) and multivariate mediation.

MISC

R_intro_workshop

R workshop

rdm-course

Research Data Management with DataLad

riksneurotools

Rik Henson's neuroimaging analysis tools

workshop_pybrain