HNN Template Model



 The following sections contain details on the construction of the cells and circuits in HNN’s canonical neocortical template model (comprised of layered cortical columns) as well as exogenous driving inputs. Each section details the parameters that can currently be adjusted in the HHN-GUI for the user’s hypothesis testing needs. If there are parameters you would like to be able to adjust in the HNN-GUI but cannot, we encourage you to submit suggestions to our Github issues page.

While the adjustable parameters in the HNN-GUI are necessarily limited, all parameters and network configurations can be changed based on your hypothesis testing goals using NEURON-Python code in our documented and supported HNN-Core repository page.  Please see the "Getting Started" page for more details on the functionality of HNN-GUI and HNN-Core, and how more specialized neocortical template models can be used and developed.


Cortical Column Structure

Neurons: Morphology and Physiology

Network Architecture and Synaptic Connectivity

Exogenous Driving Inputs: Evoked and Rhythmic

Exogenous Driving Inputs: Tonic / Noisy

Calculation of Primary Electrical Currents