def up_fill_gap_between_ipsp_groups(save_folder, save_file, spw_file, data_file, reanalize = False):
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_fill_gap_between_ipsp_groups(save_folder = save_folder, save_file = save_file, spw_file = spw_file, data_file = data_file)
else:
print 'Initiated SPWs were already saved'
gc.collect()
def up_spws_spikes_ampl(save_folder, save_file = 'data.npz', load_spwsspike = 'SPWs_spikes.npz', load_spikefile = 'spikes_params.npz', reanalize = False):
""" Finds which of the spikes detected is of the same amplitude as coresponding highest spike - it returns only the highest amplitude spikes"""
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
ispw.update_SPW_spikes_ampl(load_spikefile, load_spwsspike, save_folder, save_file)
else:
print 'spws were already analysed'
gc.collect()
def equalize_number_spws(save_folder, save_file, induc_spont, load_distances, reanalize):
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_equalize_number_spws(save_folder = save_folder, save_file = save_file, induc_spont = induc_spont, load_distances = load_distances)
else:
print 'Initiated SPWs were already saved'
gc.collect()
def up_extraspikes(save_folder, filter_folder, save_file = "ex_spikes", load_file = "data_dspl.npz", spikes_filter = 'filter_', reanalize = False):
""" finding extracellular spikes in the data """
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
ispw.update_extraspikes(data_load = load_file, filter_folder = filter_folder, save_folder = save_folder, save_file = save_file, save_filter = spikes_filter)
else:
print 'spikes were already found'
gc.collect()
def up_remove_with_to_few_ipsps(save_folder, save_file, spw_file, to_remove, reanalize = False):
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_remove_with_to_few_ipsps(save_folder = save_folder, save_file = save_file, spw_file = spw_file, to_remove = to_remove)
else:
print 'Initiated SPWs were already saved'
gc.collect()
def up_expikes_params(save_folder, save_file = 'spw_data.npz', load_datafile = 'spw_data.npz', load_spikefile = 'spikefile.npz', reanalize = False):
""" finds different parameters of the spike and returns them in ms"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
ispw.update_expikes_params(load_datafile, load_spikefile, save_folder, save_file = save_file)
else:
print 'spikes parameters were already calculated'
gc.collect()
def up_intraSpikes(save_folder, save_file = 'intra_spikes.npz', load_file = 'data_intra.npz', reanalize = False):
""" finds the spikes in the intracellular data"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_intraSpikes(save_folder, save_file = save_file, load_file = load_file, pulse_len = 500)
else:
print 'intracellular spikes were already found previously'
gc.collect()
def up_add_missing_electrodes_SPW(save_folder, save_file, spw_file, data_file, reanalize = False, expected_min_ipsp_ampl = 30):
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_add_missing_electrodes_SPW(save_folder = save_folder, save_file = save_file, spw_file = spw_file, data_file = data_file)
else:
print 'Initiated SPWs were already saved'
gc.collect()
def up_group_ipsps(save_folder, ipsps_groups, load_spwsipsp, load_datafile, save_file, reanalize):
""" groups the IPSPs and assigns to them groups"""
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
fig_fold_name = 'SPW_IPSPs/'
fold_mng.create_folder(save_folder + fig_fold_name)
# load the data
ispw.update_ipsps_groups(save_folder, ipsps_groups, load_spwsipsp, load_datafile, save_file)
gc.collect()
def up_datafile(filename, save_folder, save_file = 'data.npz', ext_electrodes = [1], intr_electrode = 1, reanalize = False):
""" updates only the datafile for the given values """
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
ispw.update_datafile(filename, ext_electrodes, save_folder, data_file = save_file)
else:
print 'raw data file already exists'
gc.collect()
def up_induc_spont_spw(save_folder, save_file = 'i_s_spws', load_distances = 'distances.npz', load_spwfile = 'spws.npz', max_init_dist = 10, reanalize = False, ext = '.pdf'):
""" it finds which spws are initiated and which are sponteneaus"""
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_induc_spont_spw(save_folder = save_folder, save_file = save_file, load_distances = load_distances, load_spwfile = load_spwfile, max_dist =max_init_dist, ext = ext)
else:
print 'Initiated SPWs were already saved'
gc.collect()
def up_SPW_ipsp(save_folder, filter_folder, save_file = 'spws_params.npz', load_datafile = "data_movavg.npz", load_waves = 'spws.npz', load_spikes = 'spws_potential', induced_dist = 7, reanalize = False):
""" it finds the characteristics of each spw"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_SPW_ipsp(load_datafile, filter_folder, load_waves, load_spikes, save_folder, save_file)
else:
print 'spws were already analysed'
gc.collect()
def up_correct_ipsps(save_folder, save_fig = 'spw_ipsp', save_file = 'save_it.npz', load_datafile = 'data.npz', load_spwsipsp = 'spws.npz', load_spwsspike = 'spw_spike.npz', reanalize = False, ext = '.pdf'):
"""analyse all the ipsps and correct them"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
fig_fold_name = 'SPW_IPSPs/'
fold_mng.create_folder(save_folder + fig_fold_name)
ispw.corect_ipsps(load_datafile, load_spwsipsp, load_spwsspike, save_folder, fig_fold_name + save_fig, save_file, ext)
gc.collect()
def up_spikes_ampl(save_folder, save_file ='spikes_in_spws', load_spike_file = 'spikes.npz', reanalize = False):
""" finds all the spikes for the given spw"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_spikes_ampls(save_folder, save_file, load_spike_file)
else:
print 'origins of spikes were already calculated'
gc.collect()
def up_intrafile(filename, save_folder, save_file = 'data_intra.npz', int_electrodes = [1], reanalize = False):
""" read intracellular data"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_datafile(filename, int_electrodes, save_folder, data_file = save_file)
else:
print 'raw intracellular data was already loaded'
gc.collect()
def up_spws_ipsp_beg(save_folder, filter_folder, save_fig = 'spw_ipsp', save_file = 'save_it.npz', load_datafile = 'data.npz', load_spwsipsp = 'spws.npz', load_spwsspike = 'spw_spike.npz', reanalize = False, ext = '.pdf', expected_min_ipsp_ampl = 30):
"""analyse the ipsps in each SPWs - finds the beginnings, and removes those which are not correct"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
fig_fold_name = 'SPW_IPSPs/'
fold_mng.create_folder(save_folder + fig_fold_name)
# load the data (save_folder, ipsps_groups, load_spwsipsp, load_datafile, save_file)
ispw.update_spws_ipsp_beg(load_datafile, filter_folder, load_spwsipsp, load_spwsspike, save_folder, fig_fold_name + save_fig, save_file, ext, expected_min_ipsp_ampl)
gc.collect()
def up_spws_beg(save_folder, save_fig = 'spw_ipsp', save_file = 'save_it.npz', load_datafile = 'data.npz', load_spwsipsp = 'spws.npz', load_spwsspike = 'spw_spike.npz', reanalize = False, ext = '.pdf', expected_min_ipsp_ampl= 30):
"""analyse the beginning of each SPW - finds the beginnings - time and location"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
fig_fold_name = 'SPW_IPSPs/'
fold_mng.create_folder(save_folder + fig_fold_name)
ispw.update_spws_beg(load_datafile, load_spwsipsp, load_spwsspike, save_folder, fig_fold_name + save_fig, save_file, ext, expected_min_ipsp_ampl = expected_min_ipsp_ampl)
gc.collect()
def up_divide_to_groups(load_datafile, load_spwsipsp, save_folder, save_file, reanalize):
"""analyse the beginning of each SPW - finds the beginnings - time and location"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
fig_fold_name = 'SPW_IPSPs/'
fold_mng.create_folder(save_folder + fig_fold_name)
ispw.divide_to_groups(load_datafile, load_spwsipsp, save_folder, save_file)
gc.collect()
def up_spws_first_max(save_folder, save_file, spws, datafile, reanalize = False):
""" alignes spws on the first maximum within the window"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
fig_fold_name = 'SPW_IPSPs/'
fold_mng.create_folder(save_folder + fig_fold_name)
ispw.update_spws_first_max(save_folder, spws, datafile, save_file, window = [-1, 3])
gc.collect()
def up_remove_too_small_spws(save_folder, save_file, load_datafile, load_spwsipsp, min_ampl, reanalize = False, ext = '.pdf'):
"""analyse all the ipsps and correct them"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
fig_fold_name = 'SPW_IPSPs/'
fold_mng.create_folder(save_folder + fig_fold_name)
ispw.update_remove_too_small_spws(load_datafile, load_spwsipsp, min_ampl, save_folder, save_file, ext)
gc.collect()
def up_highWaves(save_folder, filter_folder, save_file = "data_movavg.npz", load_datafile = 'data.npz', reanalize = False):
""" it subtracts moving average from the data"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_highWaves(load_datafile, filter_folder, save_folder, data_file = save_file, atten_len = 25)
else:
print 'raw data was already moved to the baseline'
gc.collect()
def up_databas(save_folder, save_file = "data_dspl.npz", load_file = 'data.npz', reanalize = False):
""" it downsamples the data taken from the given file and saves it in another file"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_databas(data_load = load_file, save_folder = save_folder, data_file = save_file)
else:
print 'raw data was already moved to the baseline'
gc.collect()
def up_merge_close_groups(save_folder, save_file, spw_file, data_file, reanalize = False):
""" it merges too close groups of IPSPs, it chooses the one which is lower if there are
two on the same electrode"""
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_merge_close_groups(save_folder = save_folder, save_file = save_file, spw_file = spw_file, data_file = data_file)
else:
print 'Initiated SPWs were already saved'
gc.collect()
def up_highWaves_numb(save_folder, save_file = 'spws_params.npz', load_spwsfile = 'spws_potential', reanalize = False):
""" it finds the characteristics of each spw"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load spike params
ispw.update_highWaves_numb(load_spwsfile, save_folder, save_file)
else:
print 'spws were already analysed'
gc.collect()
def up_dist_SpwfromSpike(save_folder, save_file = 'spw_dist.npz', load_intrafile = 'intra_data.npz', load_spwfile = 'spw_data.npz', spikes = 'all', reanalize = False):
""" it finds the distance intracellular spike to each spw"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
# load the data
ispw.update_dist_SPWfromSpike(save_folder = save_folder, save_file = save_file, load_intrafile = load_intrafile, load_spwfile = load_spwfile, max_dist = 15, spikes = spikes)
else:
print 'distances of spws to intracellular spikes were already calculated'
gc.collect()
def up_spws(save_folder, save_file = 'spw_data.npz', load_file = 'spw_data.npz', reanalize = False):
""" updates details of the spws"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
npzfile = np.load(save_folder + load_file)
data = npzfile['data']
fs = npzfile['fs']
npzfile.close()
spw_idxs, spw_maxs, starts_spw, ends_spw, lengths_spw, fs_spws = ispw.update_spws(data, fs = fs, save_folder = save_folder, save_file = save_file)
else:
print 'raw data was already filtered'
gc.collect()
def up_filtered(save_folder, save_file = 'spw_data.npz', load_file = "data_dspl.npz", freq = [1.5, 500.0], reanalize = False):
""" filteres the data from the given file to given frequencies"""
# check if folder already exists
fold_mng.create_folder(save_folder)
# check if this file already exists
exists = fold_mng.file_exists(save_folder, save_file)
if reanalize or not exists:
npzfile = np.load(save_folder + load_file)
data = npzfile['data']
fs = npzfile['fs']
npzfile.close()
data_filt, freq, fs_data = ispw.update_filtered(data, fs, save_folder, freq, data_file = save_file)
else:
print 'raw data was already filtered'
gc.collect()
solutions_folder = get_save_folder() + 'solutions/'
fold_mng.create_folder(solutions_folder)
if cum_change_var:
# gather all the cumulative change of variance and plot them on one plot
file_name = name_used + 'cum_change_variance.npz'
all_var_spont = []
all_var_init = []
for nex in range(len(all)):
#import pdb; pdb.set_trace()
filename, save_folder, intra = find_folders(all[nex][0], all[nex][1], all[nex][2])
# check if it exists:
exists = fold_mng.file_exists(save_folder, file_name)
if exists:
print all[nex][0]
npzfile = np.load(save_folder + file_name)
init_temp = npzfile['cum_change_init']
spont_temp = npzfile['cum_change_spont']
timeline = npzfile['timeline']
fs = npzfile['fs']
npzfile.close()
all_var_spont.append(spont_temp.tolist())
all_var_init.append(init_temp.tolist())
fs = fs.tolist()
fs = int(fs)
all_var_spont = np.array(all_var_spont)
