macro_eeg_model.evaluation.simulation_data_extractor

macro_eeg_model.evaluation.simulation_data_extractor#

Classes#

SimulationDataExtractor

The SimulationDataExtractor class is responsible for extracting and processing simulation data.

Module Contents#

class macro_eeg_model.evaluation.simulation_data_extractor.SimulationDataExtractor[source]#

The SimulationDataExtractor class is responsible for extracting and processing simulation data. It organizes the data by nodes and simulations, allowing for easy access to both raw and processed data.

nodes#

An array of node names used in the simulations.

Type:: numpy.ndarray

simulation_names#

A list of simulation names.

Type:: list

sample_rates#

A dictionary mapping simulation names to their corresponding sample rates.

Type:: dict

simulations_data_per_node#

A dictionary organizing the processed simulation data by node.

Type:: dict

simulations_power_per_node#

A dictionary organizing the processed power spectra by node.

Type:: dict

simulations_epoched_power_per_node#

A dictionary organizing the processed epoched power spectra by node.

Type:: dict

__init__()[source]#: Initializes the SimulationDataExtractor by loading and processing the simulation data using methods from this class.

_get_simulations_data_per_node(processed_simulations_data)[source]#

Organizes the processed simulation data by node and then simulation name.

Parameters:: processed_simulations_data (dict) – The dictionary containing processed simulation data organized by simulation name and then node.
Returns:: A dictionary organizing the simulation data by node and then simulation name.
Return type:: dict

_get_simulations_epoched_power_per_node(processed_simulations_epoched_power)[source]#

Organizes the processed epoched power spectra by node and then simulation name.

Parameters:: processed_simulations_epoched_power (dict) – The dictionary containing processed epoched power spectra organized by simulation name and then node.
Returns:: A dictionary organizing the epoched power spectra by node and then simulation name.
Return type:: dict

_get_processed_simulations_epoched_power(simulations_info, epoch_len=1000)[source]#

Processes and organizes the epoched power spectra data by simulation name and then node.

Parameters:

simulations_info (dict) – A dictionary containing simulation information objects.
epoch_len (int, optional) – The length of each epoch in milliseconds (default is 1000).

Returns:

A dictionary organizing the processed epoched power spectra data by simulation name and then node.

Return type:

dict

_get_simulations_power_per_node(processed_simulations_power)[source]#

Organizes the processed power spectra by node and then simulation name.

Parameters:: processed_simulations_power (dict) – The dictionary containing processed power spectra organized by simulation name and then node.
Returns:: A dictionary organizing the power spectra by node and then simulation name.
Return type:: dict

_get_processed_simulations_power(simulations_info)[source]#

Processes and organizes the power spectra data by simulation name and then node.

Parameters:: simulations_info (dict) – A dictionary containing simulation information objects.
Returns:: A dictionary organizing the processed power spectra data by simulation name and then node.
Return type:: dict

_get_processed_simulations_data(simulations_info)[source]#

Processes and organizes the raw simulation data by simulation name and then node.

Parameters:: simulations_info (dict) – A dictionary containing simulation information objects.
Returns:: A dictionary organizing the processed simulation data by simulation name and then node.
Return type:: dict

_get_simulations_info()[source]#

Loads simulation information from saved files in the directories within the output path (see src.utils.paths.Paths) using src.simulation.simulation_info.SimulationInfo.load_simulation_info(). and checks for consistency in node names.

Returns:

A tuple containing:

simulations_info (dict): A dictionary of SimulationInfo objects keyed by simulation name.
sample_rates (dict): A dictionary of sample rates keyed by simulation name.

Return type:

tuple

Raises:

AssertionError – If the nodes in any simulation do not match the expected node names.

static _get_surface_nodes(nodes)[source]#

Returns the surface nodes from the given list of nodes. Currently, the surface nodes are all nodes except the thalamus.

Parameters:: nodes (list) – A list of node names.
Returns:: A list of surface node names.
Return type:: list