Pinned Repositories
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
DS8R_python
An unofficial Python package for Digitimer DS8R current stimulator.
easyml
A toolkit for easily building and evaluating machine learning models.
Haines_2020_CPS
Data, R, and Stan code to reproduce analyses and figures from Haines et al. (2020) in Clinical Psychological Science
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
hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
IGT
R codes used in Haines, Vassileva, & Ahn (2018; Cognitive Science) for developing a new Iowa Gambling Task model
project_model_based_fmri
Computational Clinical Science Laboratory's Repositories
CCS-Lab/hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
CCS-Lab/easyml
A toolkit for easily building and evaluating machine learning models.
CCS-Lab/DS8R_python
An unofficial Python package for Digitimer DS8R current stimulator.
CCS-Lab/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
CCS-Lab/Haines_2020_CPS
Data, R, and Stan code to reproduce analyses and figures from Haines et al. (2020) in Clinical Psychological Science
CCS-Lab/IGT
R codes used in Haines, Vassileva, & Ahn (2018; Cognitive Science) for developing a new Iowa Gambling Task model
CCS-Lab/APS2017-workshop
"Computational Modeling of Decision-Making Tasks With a Single Line of Coding: Modeling Can Be as Easy as Doing a T-Test"
CCS-Lab/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".
CCS-Lab/project_model_based_fmri
CCS-Lab/dans2019-ccslab
DANS (Data Analysis in Neuroscience at SNU) 2019 by CCS Lab
CCS-Lab/project_car_racing
Reinforcement Learning for Gym CarRacing-v0 with PyTorch
CCS-Lab/project_highway_irl_public
CCS-Lab/project_tDCS_public
CCS-Lab/project_WMDM_public
CCS-Lab/workshop_2018winter_deepLearning
Resources for the Deep Learning study (2018 Winter) with DeepLearningZeroToAll.
CCS-Lab/digital-phenotypes-mHealth_2020
CCS-Lab/hBayesDM-models
CCS-Lab/project_addiction_classification_with_EEG_and_NFs