Eric Kenji Lee's Projects
This is an analysis package made for the application of spectral decompositions for dimensionality reduction on Python
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Code used in the Chandrasekaran Lab to analyze the population activity of neurons recorded from prefrontal cortex in NHP's performing decision-making tasks
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Sometimes neuroscience. Sometimes math. Sometimes data science. Always my thoughts!
This is the final version of the poster "The Incorporation and Uses of Eye Tracking in a Large-Scale Pipeline for the Allen Brain Observatory " presented at SfN 2017
Flexible categorization dynamics in spiking neural networks of perceptual decision making
Embed strange attractors using a regularizer for autoencoders
Poster for the Gordon Research Symposium - Neurobiology of Cognition conference in 2022
HVA classification for AMATH 582
[imgprep] image preparation python script for my microscopy workflow
code associated with "Dynamics of stochastic integrate-and-fire networks"
This is the repo for our linear models lab looking at bike data
Photoinhibition Charaterization Paper, Li et al 2019
phy: interactive visualization and manual spike sorting of large-scale ephys data
This repo is provided for the reproduction of figures and analyses found in the manuscript Lee et al. 2024, bioRxiv. It should be useful for both reviewers and interested researchers.
Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Weighted Nearest Neighbors Analysis implemented in Python (pyWNN)
A game theoretic approach to explain the output of any machine learning model.
Nonlinear dimesionality reduction and graph community detection on waveforms.
This repo allows for the complete reproduction, from processed data, of all the main and supplemental figures in the manuscript Non-linear Dimensionality Reduction on Extracellular Waveforms Reveals Physiological, Functional, and Laminar Diversity in Premotor Cortex.