Index

_

_convert_binary_reverb_to_timestamp() (automea.__main__.Analysis method), [1] _detect_bursts() (automea.__main__.Analysis method), [1] _detect_reverbs() (automea.__main__.Analysis method), [1]

_detect_spikes() (automea.__main__.Analysis method), [1] _predict_reverbs() (automea.__main__.Analysis method), [1] _pretrained_models (automea.__main__.Analysis attribute), [1]

A

active_channels (automea.__main__.Analysis attribute), [1] adZero (automea.__main__.Analysis attribute), [1] Analysis (class in automea.__main__), [1]

analysis_params (automea.__main__.Analysis attribute), [1] analyze_dataset() (automea.__main__.Analysis method), [1], [2], [3] automea.__main__ module, [1]

B

bursts (automea.__main__.Analysis attribute), [1]

bursts_binary (automea.__main__.Analysis attribute), [1] bursts_params (automea.__main__.Analysis attribute), [1]

C

conversionFactor (automea.__main__.Analysis attribute), [1] convert_binary_to_timestamps() (automea.__main__.Analysis method), [1], [2], [3]

convert_signal() (automea.__main__.Analysis method), [1], [2], [3] convert_threshold() (automea.__main__.Analysis method), [1], [2], [3] convert_timestamps_to_binary() (automea.__main__.Analysis method), [1], [2], [3]

D

dataset (automea.__main__.Analysis attribute), [1] dataset_filename (automea.__main__.Analysis attribute), [1] dataset_index (automea.__main__.Analysis attribute), [1] detect_bursts() (automea.__main__.Analysis method), [1], [2], [3]

detect_net() (automea.__main__.Analysis method), [1], [2], [3] detect_reverbs() (automea.__main__.Analysis method), [1], [2], [3] detect_spikes() (automea.__main__.Analysis method), [1], [2], [3] detect_threshold() (automea.__main__.Analysis method), [1], [2], [3]

E

exponent (automea.__main__.Analysis attribute), [1]

F

files_and_well_csv() (automea.__main__.Analysis method), [1], [2], [3]

L

loadh5() (automea.__main__.Analysis method), [1], [2], [3] loadmodel() (automea.__main__.Analysis method), [1], [2], [3]

loadsignal() (automea.__main__.Analysis method), [1], [2], [3] loadspikes() (automea.__main__.Analysis method), [1], [2], [3] loadwell() (automea.__main__.Analysis method), [1]

M

model (automea.__main__.Analysis attribute), [1] model_name (automea.__main__.Analysis attribute), [1]

model_params (automea.__main__.Analysis attribute), [1] module automea.__main__, [1]

N

net_bursts (automea.__main__.Analysis attribute), [1] net_bursts_binary (automea.__main__.Analysis attribute), [1]

net_reverbs (automea.__main__.Analysis attribute), [1] normalize_signal() (automea.__main__.Analysis method), [1], [2], [3] normalize_threshold() (automea.__main__.Analysis method), [1], [2], [3]

O

output_folder (automea.__main__.Analysis attribute), [1]

output_name (automea.__main__.Analysis attribute), [1]

P

path_to_csv (automea.__main__.Analysis attribute), [1] path_to_dataset (automea.__main__.Analysis attribute), [1] path_to_model (automea.__main__.Analysis attribute), [1]

plot_raster() (automea.__main__.Analysis method), [1], [2], [3] plot_raster_well() (automea.__main__.Analysis method), [1] plot_window() (automea.__main__.Analysis method), [1]

R

reduce_dimension() (automea.__main__.Analysis method), [1], [2], [3] reduce_norm_abs_signal() (automea.__main__.Analysis method), [1], [2], [3] reverbs (automea.__main__.Analysis attribute), [1]

reverbs_binary (automea.__main__.Analysis attribute), [1], [2], [3] reverbs_params (automea.__main__.Analysis attribute), [1] reverbs_params_default() (automea.__main__.Analysis method), [1], [2], [3] reverbs_params_manual() (automea.__main__.Analysis method), [1], [2], [3]

S

samplingFreq (automea.__main__.Analysis attribute), [1] save_spikes() (automea.__main__.Analysis method), [1], [2], [3] signal (automea.__main__.Analysis attribute), [1]

spike_params (automea.__main__.Analysis attribute), [1] spikes (automea.__main__.Analysis attribute), [1] spikes_binary (automea.__main__.Analysis attribute), [1]

T

threshold_params (automea.__main__.Analysis attribute), [1]

time (automea.__main__.Analysis attribute), [1], [2], [3] total_timesteps_signal (automea.__main__.Analysis attribute), [1]

U

util (automea.__main__.Analysis attribute), [1]

W

well (automea.__main__.Analysis attribute), [1] wellIndexLabelDict (automea.__main__.Analysis attribute), [1]

wellLabelIndexDict (automea.__main__.Analysis attribute), [1] wellsIDs (automea.__main__.Analysis attribute), [1] wellsLabels (automea.__main__.Analysis attribute), [1]