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  • 👋 Hi, I’m Yikang Liu, master student at School of Psychology, Nanjing Normal University. Now, I’m a memeber of Meta Self Lab.

  • 🧑‍💻 My main research are:

    • the ERP marker of evidence accumulation in decision-making, Centro-Parietal Positivity(CPP);

    • the impact of precistion on perception and perceptual decision-making.


  • 👀 I am Teaching Assistant of two course:

    • Psychological Statistics for undergraduates (2022.2 - Now);

    • Advanced Psychological Statistics for undergraduates (2022.9 - 2023.1).


  • 🌱 I’m currently using EEG analysis and computational model to solve my research.

Yikang 's Projects

anytime-prediction icon anytime-prediction

Code and dataset for the paper "Using Dynamic Neural Networks to Model the Speed-Accuracy Trade-Off in People"

bayesflow icon bayesflow

A library for constructing specialized neural networks for Bayesian parameter inference (invertible networks) and Bayesian model selection (evidential networks).

blog icon blog

code and data for posts from https://garstats.wordpress.com

datasizematters icon datasizematters

Contains the scripts, pre-trained networks, and data for our paper:

dockerhddm icon dockerhddm

A docker image for running HDDM with parallel processing in jupyter notebook.

gan icon gan

python notebooks accompanying the book Make Your Own GAN

gitignore icon gitignore

A collection of useful .gitignore templates

hddm icon hddm

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

hddm_attention icon hddm_attention

The current repository is able to assess the relationship between EEG components and HDDM parameters of top-down attention in perceptual decision-making using a multiple regression model

intro_eeg_for_lab icon intro_eeg_for_lab

This repo is a recording of the introduction about EEG for our lab(Meta self lab) at 22/1/2024

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kabuki icon kabuki

Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.

lqg icon lqg

Inverse optimal control for continuous psychophysics

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