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Leo's Projects

bayesflow_nddms icon bayesflow_nddms

Repository for fitting Drift-Diffusion models with identifiable within-trial noise parameters in Python using BayesFlow

ccm-site icon ccm-site

NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling

encodingn200 icon encodingn200

Python and JAGS code and data associated with publication, "The latency of a visual evoked potential tracks the onset of decision making" (2019)

fieldtrip icon fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

hddm icon hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

ltm icon ltm

Latent Trait Models under IRT

mcntoolbox icon mcntoolbox

The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters."

mplus icon mplus

Mplus syntax highlighting for sublime text 2.

ncov2019 icon ncov2019

query stats of infected coronavirus cases

pydbm icon pydbm

Python package implementing the Dynamic Belief Model by Yu and Cohen (2008)

pyhddmjags icon pyhddmjags

Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for using JAGS with pyjags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in Python.

python-eeg-handbook-cn icon python-eeg-handbook-cn

Python脑电数据处理中文手册 - A Chinese handbook for EEG data analysis based on Python

read_notes icon read_notes

Here records the papers that I read, The notes that I write

rlfit icon rlfit

Simple Matlab code to fit reinforcement learning models to choice data

spage icon spage

SaddlePoint Approximation implementation of GxE analysis

wechaty icon wechaty

WeChat Bot SDK for Individual Account, Powered by TypeScript, Docker, and 💖

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