Cortical representation of touch in silico: NetPyne

Biologically inspired, computationally efficient network model of the somatosensory cortex after reconstructing the mouse barrel cortex in soma resolution and defining a mathematical model of cortical neurons whose action potential threshold adapts to the rate of ongoing network activity impinging onto the postsynaptic neuron.

This is a NetPyNE implementation, the original model, written in Matlab (see here: https://www.opensourcebrain.org/projects/l4-and-l2-3-of-rodent-barrel-cortex)

Scientific Coordinator: Fleur Zeldenrust

This model was originally developed in: NetPyNE

The code for this model is hosted on GitHub: https://github.com/DepartmentofNeurophysiology/Cortical-representation-of-touch-in-silico-NetPyne