Parameters and distributions

This page describes the format of the expected model parameters and distributions.

Model parameters

Diametrizer model parameters

The model parameters used to diametrize a cell
type	object
properties
diameter_power_relation
	Neurite type model
sibling_ratios	The sibling ratio
	Neurite type model
tapers	The tapers
	Neurite type model
terminal_diameters	The terminal diameters
	Neurite type model
trunk_diameters	The trunk diameters
	Neurite type model
trunk_tapers	The trunk tapers
	Neurite type model
additionalProperties	True

Diameter model

The model used to diametrize a cell
properties
distribution	The distribution properties
	type	string
	enum	exponnorm, expon_rev, gamma, skewnorm
params	The parameter properties
	type	object
	properties
	a	type	number
	loc	type	number
	scale	type	number
	min	type	number
	max	type	number
	num_value	type	number
	additionalProperties	False
sequential	oneOf	type	string
		enum	asymmetry_threshold
		type	null
additionalProperties	False

Neurite type model

The model used to diametrize each neurite type
type	object
properties
apical_dendrite	Diameter model
basal_dendrite	Diameter model
axon	Diameter model
additionalProperties	False

Distributions

Diametrizer config

The config used to diametrize a cell
type	object
properties
features	Features from NeuroM
	patternProperties
	.*	These properties can be used to filter features by value
		type	object
		properties
		apical_dendrite	type	number
		basal_dendrite	type	number
		axon	type	number
		additionalProperties	False
	additionalProperties	False
models	The diameter models
	type	array
	items	type	string
n_samples	The number of samples used to build the diameters
	type	integer
	minimum	1
seed	The random seed used
	type	integer
taper	properties
	max	type	number
	max_residual	type	number
	min	type	number
	zeros	type	number
	additionalProperties	False
terminal_threshold	type	number
trunk_max_tries	type	number
additionalProperties	False