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Sangsuk Yoon's Projects

2017-summer-workshop icon 2017-summer-workshop

Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)

addmtoolbox icon addmtoolbox

Collection of Tools for fitting attentional drift diffusion models (standard drift diffusion models included)

aps2017-workshop icon aps2017-workshop

"Computational Modeling of Decision-Making Tasks With a Single Line of Coding: Modeling Can Be as Easy as Doing a T-Test"

coco icon coco

계산인지모델링 + IT 서비스

eeg-notebooks icon eeg-notebooks

A collection of classic EEG experiments implemented with Python and Jupyter notebooks

evennia icon evennia

Python MUD/MUX/MUSH/MU* development system

expyriment icon expyriment

Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments

eyetrackingr icon eyetrackingr

This package is designed to make dealing with eye-tracking data easier. It addresses tasks along the pipeline from raw data to analysis and visualization.

glam icon glam

Code associated with our manuscript "Gaze Bias Differences Capture Individual Choice Behavior"

label4mri icon label4mri

Input an MNI coordinate, output the corresponding AAL(Automated Anatomical Labeling) brain region.

mfit icon mfit

Simple model-fitting tools

mind_2017 icon mind_2017

Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics

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