Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN)

PyNN simulations for Zerlaut et al 2018).

Model Type: Realistic Network

Cell Type(s): Abstract integrate-and-fire adaptive exponential (AdEx) neuron

Model Concept(s): Vision

Simulation Environment: PyNN; Python

Implementer(s): Soler, Amelie [amelie.soler at gmail.com]

References:

Zerlaut Y, Chemla S, Chavane F, Destexhe A. (2018). Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. Journal of computational neuroscience. 44 [PubMed]