neurots.extract_input.from_diameter¶

Module to extract morphometrics about diameters of cells.

Functions

`model`(input_object)	Measure the statistical properties of input_object's diameters and outputs a diameter_model.
`section_mean_taper`(s)	Computes the mean tapering of a section.
`section_taper`(tree)	Returns the tapering of the diameters within the sections of a tree.
`section_trunk_taper`(tree)	Returns the tapering of the diameters within the sections of a tree.
`terminal_diam`(tree)	Returns the model for the terminations.

neurots.extract_input.from_diameter._check(data)¶: Check if data in dictionary are empty.

neurots.extract_input.from_diameter.model(input_object)¶

Measure the statistical properties of input_object’s diameters and outputs a diameter_model.

Input can be a population of neurons, or a single neuron.

neurots.extract_input.from_diameter.section_mean_taper(s)¶: Computes the mean tapering of a section.

neurots.extract_input.from_diameter.section_taper(tree)¶: Returns the tapering of the diameters within the sections of a tree.

neurots.extract_input.from_diameter.section_trunk_taper(tree)¶: Returns the tapering of the diameters within the sections of a tree.

neurots.extract_input.from_diameter.terminal_diam(tree)¶: Returns the model for the terminations.