QingfangLiu
Postdoc at NIH/NIDA/IRP. Previously at Northwestern University. PhD in Cognitive Psychology at the Ohio State University.
National Institute on Drug AbuseBaltimore, MD
Pinned Repositories
Optimal-policy-for-value-based-decision-making
These are the codes related to the following publication: Tajima, S., Drugowitsch, J., and Pouget, A. Optimal policy for value-based decision-making. Nature Communications, 7:12400, (2016).
qingfangliu.github.io
This is my public website about research activities.
RL-tutorial
Reinforcement learning tutorial
DissertationDefense
LCA
Code to simulate the Leaky, Competing Accumulator model in R
OFC_midbrain_TMS
This repository contains code to reproduce all figures in the publication "Midbrain signaling of identity prediction errors depends on orbitofrontal cortex networks"
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Reinforcement-Learning-Implementation
Reinforcement Learning examples implementation and explanation
SfN2022
Presentation materials for SfN2022
SimpleRT
Psychopy builder code for running a simple RT experiment
QingfangLiu's Repositories
QingfangLiu/OFC_midbrain_TMS
This repository contains code to reproduce all figures in the publication "Midbrain signaling of identity prediction errors depends on orbitofrontal cortex networks"
QingfangLiu/SimpleRT
Psychopy builder code for running a simple RT experiment
QingfangLiu/SfN2022
Presentation materials for SfN2022
QingfangLiu/SNE2022
Presentation materials for SNE2022
QingfangLiu/DissertationDefense
QingfangLiu/qingfangliu.github.io
This is my public website about research activities.
QingfangLiu/Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer
QingfangLiu/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
QingfangLiu/Reinforcement-Learning-Implementation
Reinforcement Learning examples implementation and explanation
QingfangLiu/LCA
Code to simulate the Leaky, Competing Accumulator model in R
QingfangLiu/RL-tutorial
Reinforcement learning tutorial
QingfangLiu/Optimal-policy-for-value-based-decision-making
These are the codes related to the following publication: Tajima, S., Drugowitsch, J., and Pouget, A. Optimal policy for value-based decision-making. Nature Communications, 7:12400, (2016).