5.1.1.2. ProvidesRandomDendriticLocations

class ProvidesRandomDendriticLocations

Bases: sciunit.capabilities.Capability

Indicates that the model provides a list of randomly selected locations on the trunk (primary apical dendrite) to be tested

Methods Summary

get_random_locations(num, seed, dist_range, …)	This function must be implemented by the model.
get_random_locations_multiproc(num, seed, …)	This function is called by the test and calls the get_random_locations() function.

Methods Documentation

get_random_locations(num, seed, dist_range, trunk_origin)

This function must be implemented by the model.

Must return a list of lists [dendrite, seg.x]. Eg. : [[‘dendrite[31]’, 0.5], [‘dendrite[117]’, 0.8333333333333333], [‘dendrite[117]’, 0.16666666666666666], [‘dendrite[77]’, 0.5], [‘dendrite[99]’, 0.5]], and a dictionary where the keys are the locations, the value is the actual distance of the location from the soma. Eg.: {(‘dendrite[95]’, 0.5): 191.4537639215934, (‘dendrite[91]’, 0.5): 186.10161451767556}

Parameters

• num (int) – the number of dendritic locations to be selected

• seed (float) – the random seed

• dist_range (list) – containing the mimnimum and maximum distance from the soma. Eg.: [50,150]

• trunk_origin (list) – first element : name of the section from which the trunk originates, second element : position on section (E.g. [‘soma[5]’, 1]). If not set by the user, the end of the default soma section is used.

get_random_locations_multiproc(num, seed, dist_range, trunk_origin)

This function is called by the test and calls the get_random_locations() function. Used to keep all NEURON related tasks in independent processes, to avoid errors like ‘template can not be redefined’