data_base ❭ db_initializers ❭ prepare_ANN_batches ❭ temporal_binning_augmented_sa

temporal_binning_augmented_sa¶

data_base.db_initializers.prepare_ANN_batches.temporal_binning_augmented_sa(sa_augmented, min_time, max_time, bin_size, use_weights=False)¶

Bin synapse activation times into temporal bins.

Parameters:¶

• sa_augmented (pd.DataFrame) – Augmented synapse activation dataframe

• min_time (int) – Min time in ms

• max_time (int) – Max time in ms

• bin_size (int) – Size of the time bins

• use_weights (bool, optional) – If True, weigh the synapse activation times with the corresponding synapse weights. Defaults to False.

Returns:¶

A tuple containing the bin borders and the histogram of synapse activation times.

Return type:¶

tuple

See also

augment_synapse_activation_df_with_branch_bin()