Implementation in Python and of NeuroML2/LEMS and Mejias, Jorge F., John D. Murray, Henry Kennedy, and Xiao-Jing Wang. 2016a. “Feedforward and Feedback Frequency-Dependent Interactions in a Large-Scale Laminar Network of the Primate Cortex.” https://doi.org/10.1101/065854.
The model simulates the dynamics of a cortical laminar structure across multiple scales: (I) intralaminar, (II) interlaminar, (III) interareal, (IV) whole cortex. Interestingly, the authors show that while feedforward pathways are associated with gamma oscillations (30 - 70 Hz), feedback pathways are modulated by alpha/low beta oscillations (8 - 15 Hz).
Note: This repo is a work in progress. So far this repository contains the implementation for the model dynamics at the intralaminar and the interlaminar level. At the moment I am working on the implementation of the interareal level.
A basic implementation and simulation of the intralaminar model have also been implemented in NeuroML2/LEMS. GenerateNetwork.py generates the LEMS file with the description of the network.
The simulation can be run by calling inside the NeuroML2 folder:
python GenerateNetwork.py -jnml
The necessary Python packages are listed on the