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This is a reproduction of del Molino et al. 2017 using NeuroML2/LEMS
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NeuroML
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README.md

del-Molino2017

Implementation in NeuromL2/LEMS of del Molino, L. C. G., Yang, G. R., Mejias, J. F., & Wang, X. J. (2017). Paradoxical response reversal of top-down modulation in cortical circuits with three interneuron types. Elife, 6, e29742.

The model

The model simulates the dynamics of Pyramidal cells (E) with three interneurons types (parvalbumin (PV), somatostatin (SST) and vasoactive intestinal peptide (VIP)). With this model, the authors provide answers to two counterintuitive phenomena: (I) the external activation of a population that inhibits a second population can trigger a positive response in the latter. (II) Depending on the sensory input a top-down modulation can trigger both a positive and a negative response.

The authors first look at the interaction between single units (image on the left) and then scale up the model to analyse the interaction of a network of multiple interacting units in each population (image on the right).

NeuroML version of the model

A reproduction of the main findings of the paper using the NeuroML code can be found here.

Requirements

The required Python packages and their versions are specified on the requirement.txt file.

Note: The simulations require the NEURON simulator. To download it see

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