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DJESTRIN/README.md

Hi, my name is David. Welcome to my code repository!

I am a Computational Neuroscientist 🧠 seeking positions as a Machine Learning Engineer. Through my research, I study reinforcement learning (RL) in both real and artificial neural networks. I am particularly facinated by Deep Q-Learning and its applications in Neuroscience. I am also facinated by the use of NeuroAI in medicine and robotics.

👨‍🔬 Active Research Projects:

  • 🥼 Chronic Stress Influences Prefrontal Threat Response and Afferent Connectivity - Project coming soon

  • 🤖 DQN as a model of synaptic turnover 🤖 - Code repository available by request

👨‍💻 Active Code Repositories:

  • 🔦 BrainBeam 🔦 - A cloud computing pipeline for analyzing whole-brain lightsheet datasets at petabyte scale. Contains a full pipeline for analyses. Currently developing associated GUI + API.

  • 🔬 Sweet2Plus 🔬 - A python API for analysis of suite2P outputs. In addition to analyzing suite2P outputs and performing statistics, this repo contains some C++ code for running behavioral experiments in the wet lab.

  • 🖥️ LinReg 🖥️ - A unifying linear regression library. This repository contains R and SAS functions/scripts for generalized linear mixed models, linear mixed models, linear models. I am currently building this repository based on a variety of statistics scripts I have written over the years. In addition to regression analyses, there are some common functions for plotting and data cleaning.

  • 🐭 PostPose 🐭 - A collection of scripts for analyzing outputs of DeepLabCut, a pose-estimation software.

  • 📷 CameraSync 📸 - A Tool kit for simultaneous recording of raspberry pi cameras.

  • 🌊 photometry 🌊 - (forked from pMAT) A Fiber Photometry Analysis Suite.

👨‍💻 Miscellaneous Code Repositories:

  • ☣️ HistQuant ☣️ - A collection of code for analyzing histological tissue samples.

  • 🛞 cuda_gpu_tools 🛞 - Code for monitoring and visualizing gpu usage.

  • 🐶 ZeroTension 🐶 - Python script for recording tension data via Raspberry Pi Zero based device.

📰 Published Research Projects:

My previous research studied reinforcement learning by eulcidating how natural neural networks guide deicion making in rodents. This entailed recording neuronal activity from real neuronal circuits and then interpreting them through often complex analyses.

For a full bibliography of my research, please see my Google Scholar.

  • Signal Processing of Brainwave data (aka Calcium Fiber photometry)

    • pMAT
    • VTA glutamatergic neurons mediate innate defensive behaviors
    • Distinct Signaling by Ventral Tegmental Area Glutamate, GABA, and Combinatorial Glutamate-GABA Neurons in Motivated Behavior
    • Regulation of social interaction in mice by a frontostriatal circuit modulated by established hierarchical relationships
    • A stress-sensitive frontostriatal circuit supporting effortful reward-seeking behavior
    • Lateral preoptic area glutamate neurons relay nociceptive information to the ventral tegmental area

  • Analysis of single-unit neuronal recording data (in vivo electrophysiology & in vivo two-photon imaging)

    • Aversion or salience signaling by ventral tegmental area glutamate neurons
    • Acquired Alterations in Nucleus Accumbens Responsiveness to a Cocaine-Paired Discriminative Stimulus Preceding Rats’ Daily Cocaine Consumption

  • Analysis of behavior

    • Emergence of negative affect as motivation for drug taking in rats chronically self-administering cocaine

🤳 Connect with me:

If you're interested in discussing Neuroscience, AI, or RL, collaborating on projects, or if you're a hiring manager, please reach out to me via LinkedIn. I look forward to connecting with you!

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