diameter_synthesis.build_models

Construct diameter models from cells.

Functions

build(morphologies, config[, with_data])	Build a model from a set of morphologies and a config file.
build_single_model(sampling_model, ...)	Build a single model.
extract_parameters(sampling_model, ...)	Extract parameters from neurites to then use for model building.
fit_all_models(all_data, sampling_model, config)	Fit the parameters to get models.
fit_model(sampling_model, data, extra_params)	Fit a single parameter.

diameter_synthesis.build_models.build(morphologies, config, with_data=False)

Build a model from a set of morphologies and a config file.

Parameters:

• morphologies (dict) – dictionary of morphologies.

• config (dict) – configuration dictionary.

• with_data (bool) – if set to True, the model data are also returned.

Returns:

parameter of the models (and possibly the data extracted if with_data==True).

Return type:

dict

diameter_synthesis.build_models.build_single_model(sampling_model, morphologies, config)

Build a single model.

Parameters:

• sampling_model (dict) – parameters for model building.

• morphologies (dict) – dictionary of morphologies.

• config (dict) – configuration dictionary.

Returns:

parameter of the models data extracted.

Return type:

dict

diameter_synthesis.build_models.extract_parameters(sampling_model, morphologies, config)

Extract parameters from neurites to then use for model building.

Parameters:

• sampling_model (dict) – parameters for model building.

• morphologies (dict) – dictionary of morphologies.

• config (dict) – configuration dictionary.

Returns:

data extracted.

Return type:

dict

diameter_synthesis.build_models.fit_all_models(all_data, sampling_model, config)

Fit the parameters to get models.

Parameters:

• all_data (dict) – parameters to fit.

• sampling_model (dict) – parameters for model building.

• config (dict) – configuration dictionary.

Returns:

models.

Return type:

dict

diameter_synthesis.build_models.fit_model(sampling_model, data, extra_params)

Fit a single parameter.

Parameters:

• sampling_model (dict) – model parameters.

• data (array) – parameter to fit.

• extra_params (dict) – additional parameters.

Returns:

fit parameters.

Return type:

dict