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Hi 👋 My name is Liz

Neuroscience & AI Research Engineer

I'm a Neuroscience and AI Research Engineer combining my robotics and AI expertise with neuroscience at the Paris Brain Institute 🧠💻 🔍💡 My current focus: leveraging data-driven approaches to advance our understanding of pathologies linked to abnormal repetitive behaviors (OCD, Tourette Syndrome, ...)

  • 🌍  I'm based in Paris
  • 🖥️  See my portfolio at Publication track
  • 🚀  I'm currently working on Movidoc
  • ⚡  I'm passionate about digital illustration 🎨
  • ⌚ I'm a wearable tech enthusiast! 📱🌐

Skills

PythonrlangGitC++MongoDBMySQLTensorFlowArduinoRaspberry PiAmazon Web ServicesPyTorchIllustratorPhotoshopPremiere Pro

Socials

LizbethMG's Projects

2024_mondragon-gonzalez_natureneuroscience icon 2024_mondragon-gonzalez_natureneuroscience

This is a guide to the code and data for the paper Mondragón-González, S. L., Schreiweis C, C., & Burguière E, E. (2024). Closed-loop recruitment of striatal parvalbumin interneurons prevents compulsive-like grooming behaviours. Nature Neuroscience

natureneuroscience_2024_lfp icon natureneuroscience_2024_lfp

This repository contains basic local field potential analysis scripts and functions for the paper 'Closed-loop recruitment of striatal interneurons prevents compulsive-like grooming behaviours'

natureneuroscience_2024_trifilternet icon natureneuroscience_2024_trifilternet

TriFilterNet processes electrophysiological recordings to identify pre-grooming events using triangular filters and a minimal neural network. It reduces the feature set and classifies behavioral states based on decorrelated coefficients.

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