Computational Clinical Science Laboratory

hBayesDM

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

easyml

A toolkit for easily building and evaluating machine learning models.

DS8R_python

An unofficial Python package for Digitimer DS8R current stimulator.

Haines_CVML_2018

Data and codes used for primary analyses in Haines et al. (2019, PLOS ONE) Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity

Haines_2020_CPS

Data, R, and Stan code to reproduce analyses and figures from Haines et al. (2020) in Clinical Psychological Science

IGT

R codes used in Haines, Vassileva, & Ahn (2018; Cognitive Science) for developing a new Iowa Gambling Task model

APS2017-workshop

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

cocaine-dependence

Code and data for reproducing key results in the paper "Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of Current Cocaine Dependence".

dans2019-ccslab

DANS (Data Analysis in Neuroscience at SNU) 2019 by CCS Lab

project_model_based_fmri

project_car_racing

Reinforcement Learning for Gym CarRacing-v0 with PyTorch

project_tDCS_public

project_WMDM_public

workshop_2018winter_deepLearning

Resources for the Deep Learning study (2018 Winter) with DeepLearningZeroToAll.

digital-phenotypes-mHealth_2020

hBayesDM-models

project_addiction_classification_with_EEG_and_NFs

project_highway_irl_public