myogen.simulator.neuron.proprioception.GolgiTendonOrganModel.create_default_gto_parameters#

static GolgiTendonOrganModel.create_default_gto_parameters() → Dict[str, Any][source]#

Create default Golgi Tendon Organ parameter dictionary.

The GTO model uses a logarithmic force-to-firing relationship: firing_rate = G1 * log(force/G2 + 1)

This is followed by digital filtering to create realistic temporal dynamics in the afferent discharge pattern.

Returns:: Dictionary of GTO parameters with detailed explanations
Return type:: Dict[str, Any]

Notes

Model based on: - Lin & Crago (2002): Mathematical model framework - Aniss et al. (1990b): Human GTO physiological data - Elias PhD thesis (pg 83): Implementation details

The logarithmic relationship captures the GTO’s ability to encode force over a wide dynamic range, from threshold detection of small forces to saturation at high forces, providing force feedback for motor control and protective reflexes.