https://github.com/berenslab/dlgn_movie_spline_model

dLGN movie spline LNP model

https://github.com/berenslab/dlgn_movie_spline_model

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

dLGN movie spline LNP model

Basic Info
  • Host: GitHub
  • Owner: berenslab
  • License: cc0-1.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 26.5 MB
Statistics
  • Stars: 0
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

Spline-based generalized linear model of dLGN neuron activity

Project Description

This repository contains code for analyzing the modulation of neuronal activity in the dorsolateral geniculate nucleus (dLGN) of the thalamus in awake mice. The project aims to investigate how stimulus-driven signals are combined with modulatory inputs such as corticothalamic feedback and behavioral state.

We utilized the RFEst Python toolbox for implementing a spline-based generalized linear model (GLM) to estimate spatio-temporal receptive fields (STRFs) of dLGN neurons. We extended the model to integrate additional spline kernels for pupil size, locomotion, and corticothalamic feedback.

Installation

  1. Clone this repository: https://github.com/berenslab/dLGNmoviespline_model.git
  2. Create a virtual environment and activate it: python -m venv venv source venv/bin/activate
  3. Install the required packages: pip install -r requirements.txt

License

This project is licensed under the CC0-1.0 License.

Owner

  • Name: Berens Lab @ University of Tübingen
  • Login: berenslab
  • Kind: organization
  • Email: philipp.berens@uni-tuebingen.de
  • Location: Tübingen, Germany

Department of Data Science at the Hertie Institute for AI in Brain Health, University of Tübingen

GitHub Events

Total
Last Year

Dependencies

requirements.txt pypi
  • jax *
  • jaxlib *
  • matplotlib *
  • numpy *
  • pandas *
  • rfest *
  • scikit-learn *
  • scipy *
  • seaborn *