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👋 Hi, I’m Justin Brantley ( @jabrantley here on github; this is my slowly updating webpage)
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👀 I’m interested in movement, the brain, and how those two relate. I've mainly worked in the non-invasive neural interface domain, but have recently been thinking a bit more about motor control, how we learn (and learn to learn), and how this is observed in the real world. My current work is focused on using baseball data to show that professional baseball players behave in a way that is predicted by Bayesian statistics.
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🌱 I’m currently learning a bit more about forecasting models, causal inference, Bayesian models, and how to think about baseball more like Bill James
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💞️ I’m looking to collaborate on cool projects. I know, very specific...
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📫 How to reach me: justin dot a dot brantley at google email
This is my personal repo where I have some code for projects I have worked on throughout the years. Here are some worth mentioning:
Project | Description |
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Bayesball |
Repo for the paper, "Bayesball: Bayesian Integration in Professional Baseball Batters" |
NEUROLEG |
The contains the MATLAB code I used for implementing a real-time EEG- and EMG-based brain-machine interface for amputees |
EmpiricalBayes-Baseball |
This is a python adaptation of the book Introduction to Empirical Bayes: Examples from Baseball Statistics |
Deep-Learning |
A (small but on-going) collection of some of my deep learning notebooks. I have many more but I try to clean them up before posting |
Baseball_Notebooks |
A few notebooks related to baseball analysis. As I continue to try new things, I will add them to the repo. e.g., predicting future OBP using past values. I try ML, emperical Bayes, ARIMA models, etc. |
JustinBrantley_CV |
The LaTex files for my CV/resume |
BasicNeuralPrediction_Example_MATLAB |
A simple tutorial I wrote on how to use MATLAB classes for basic prediction using neural data |
FigureMaking-MATLAB-EEG |
Some basic tutorials on figure making in MATLAB . Check out the corresponding blog posts |