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Firing-Rate Based Network Modeling of the dLGN Circuit: Effects of Cortical Feedback on Spatiotemporal Response Properties of Relay Cells

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edog-simulations

This repository contains all simulations presented in the paper:

"Firing-Rate Based Network Modeling of the dLGN Circuit: Effects of Cortical Feedback on Spatiotemporal Response Properties of Relay Cells". https://doi.org/10.1371/journal.pcbi.1006156

These simulations use the pyLGN simulator and the calculations are done in Jupyter notebooks.

Installation

  • Install pyLGN (v0.9): conda install -c defaults -c conda-forge -c cinpla pylgn=0.9
  • Clone or download this repo.
  • In terminal run python setup.py

Dependencies

  • python >=3.5
  • matplotlib
  • numpy
  • scipy
  • setuptools
  • pillow
  • quantities 0.12.1
  • pyyaml
  • pylgn 0.9

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Firing-Rate Based Network Modeling of the dLGN Circuit: Effects of Cortical Feedback on Spatiotemporal Response Properties of Relay Cells

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