LilianYou
A psychology, geography, and neuroscience researcher.
Massachusetts General Hospital/Harvard Medical SchoolCambridge, MA
Pinned Repositories
CARLsim4
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
Environmental_Data_Science_and_Statistics
Technical skills to approach and answer environmental questions using quantitative and qualitative data, including data wrangling, exploratory data analysis, descriptive statistics, uncertainty, hypothesis testing, data visualization and communication.
Famous_People_Rating
Distance Analysis
fMRI_Data_Analyses
Basic MRI image processing and high-level task-related MRI data analyses using MATLAB
Geography_Analytics
A list of exercises in analytical methods for geography research, including linear algebra, spatial modeling, and time-series analyses.
Latent_Class_Analyses
R code for latent class analysis
Maze_Learning_Behavior
Codes to extract different types of events based on behavioral master file
Maze_Learning_Neural_Analysis
Sea_Hero_Quest
Sea hero quest analyses
LilianYou's Repositories
LilianYou/fMRI_Data_Analyses
Basic MRI image processing and high-level task-related MRI data analyses using MATLAB
LilianYou/Latent_Class_Analyses
R code for latent class analysis
LilianYou/CARLsim4
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
LilianYou/dark-lily
a test repository
LilianYou/Environmental_Data_Science_and_Statistics
Technical skills to approach and answer environmental questions using quantitative and qualitative data, including data wrangling, exploratory data analysis, descriptive statistics, uncertainty, hypothesis testing, data visualization and communication.
LilianYou/Famous_People_Rating
Distance Analysis
LilianYou/Geography_Analytics
A list of exercises in analytical methods for geography research, including linear algebra, spatial modeling, and time-series analyses.
LilianYou/Maze_Learning_Behavior
Codes to extract different types of events based on behavioral master file
LilianYou/Maze_Learning_Neural_Analysis
LilianYou/Sea_Hero_Quest
Sea hero quest analyses
LilianYou/dicom_parser
Facilitates DICOM data access.
LilianYou/dl_tutor
LilianYou/FinTech
analysis on bitcoin, altcoin, etc.
LilianYou/Food_Categorization
This is a collection of the information for 2020 WAIDATATHON teamwork
LilianYou/GIS
Past GIS Coursework & Research Work
LilianYou/individual_path
demo training for sea hero quest
LilianYou/LilianYou.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
LilianYou/LMCPackage
handy packages for data exploration and statistical tests by Lily
LilianYou/lubridate_examples
LilianYou/Mental_Rotation_of_Hands
Data analyses code for Hand MRT Task
LilianYou/MLINDIV
Maze Learning - Individual Differences (MLINDIV) is an expansive project that employs neuroimaging, behavioral testing, and computational methods to tease out individual differences in spatial navigation. More specifically, this project uses MRI data obtained from nearly 100 subjects before, during, and after their participation in a maze navigation experiment to explore neurological and behavioral differences in memory, learning, decision making, and other cognitive processes. This repository is meant to hold the most up to date scripts necessary for each subproject tied to MLINDIV.
LilianYou/nh2020-curriculum
Materials for NH2020
LilianYou/NLP
Different project code related to text mining (e.g., topic modeling)
LilianYou/Pathfinder
Search Strategy analysis and more for spatial navigation data in rodents
LilianYou/reveal.js
The HTML Presentation Framework - Neuromorphic Machine Intelligence Lab Template
LilianYou/shiny-demo
quick introduction to Shiny
LilianYou/Spark_R_modeling
My teaching slides and exercises in modeling with Spark R.
LilianYou/TensorFlow-Course
LilianYou/tidymodels-tutorial
This is a brief high-level tutorial for the tidymodels package