Language Breakdown
Lines of code distribution across 7 owned repositories
Pi-Shaped Developer
π-shapedTwo strong pillars: Python & Jupyter Notebook
Collaboration Network
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Repos
18
PRs
0
Growth
+18%
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Top Repositories
NEural MOdelS, a statistical modeling framework for neuroscience.
Jupyter-based GUI for MEA .h5 and Neuralynx .ncs tetrode spike sorting, channel QC, sorter comparison, quality metrics, unit reports, and two-pass unit curation using SpikeInterface.
End-to-end Python GUI for MEA spike sorting, unit quality analysis, and functional connectivity with null models. Built with SpikeInterface + MountainSort4 + tkinter.
A GitHub repository for evaluating freezing behavior using baseline statistical models from neuron-level features. This includes LOOCV Linear Regression, Standard Linear Regression, and Generalized Estimating Equations (GEE) at the neuron level.
This repository contains modular Python code for building functional connectivity networks from spike train data using dot product-based similarity and null-hypothesis testing. It was developed for use in electrophysiology analysis focused on brain network dysfunction after early-life seizures.
This code was developed for analyzing network-level changes in neural dynamics during cognitive tasks in mouse models of early life seizures (ELS). Metrics were selected to capture node-level influence, clustering, modularity, and integration across functional connectivity graphs.
This repository contains a full implementation of a GAT model for predicting freezing behavior during fear extinction, using graph representations of single-unit electrophysiological data. The model uses per-neuron features and functional connectivity edge weights to build per-animal graphs and evaluate performance using LOOCV
Python framework for inference in Hawkes processes.
Python implementation of elastic-net regularized generalized linear models
Granger causality for multielectrode array Plexon neuronal recordings.
Open Source Impact
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