hnn_core.jones_2009_model

hnn_core.jones_2009_model(params=None, add_drives_from_params=False)[source]

Instantiate the Jones et al. 2009 model.

Parameters
paramsstr | dict | None

The path to the parameter file for constructing the network. If None, parameters loaded from default.json Default: None

add_drives_from_paramsbool

If True, add drives as defined in the params-dict. NB this is mainly for backward-compatibility with HNN GUI, and will be deprecated in a future release. Default: False

Returns
netInstance of Network object

Network object used to store

Notes

The network is composed of a square grid of pyramidal cells, arranged in two layers (L5 and L2). The default in-plane separation of the grid points is 1.0 um, and the layer separation 1307.4 um. These can be adjusted after the net is created using the set_cell_positions-method. An all-to-all connectivity pattern is applied between cells. Inhibitory basket cells are present at a 1:3-ratio.

Examples using hnn_core.jones_2009_model