def loadRawOEdir(rawDataDir):
data = OE.loadFolderToArray(rawDataDir,
channels=range(FIRST_CH, LAST_CH + 1),
chprefix='CH',
dtype=float,
session='0',
source='100')
print(np.shape(data))
totalNumSamples = np.shape(data)[
0] #no longer used but available for later
print(data)
return data
def loadRawOEdir(rawDataDir):
# print('loading: ' + pathToFile)
# data_dict = OE.load(pathToFile) # returns a dict with data, timestamps, etc.
# print(data_dict)
# # open ephys's BROKEN (float given but expects int error) downsample code
# # def downsample(trace,down):
# # downsampled = scipy.signal.resample(trace,np.shape(trace)[0]/down)
# # return downsampled
data = OE.loadFolderToArray(rawDataDir,
channels=range(FIRST_CH, LAST_CH + 1),
chprefix='CH',
dtype=float,
session='0',
source='100')
print(np.shape(data))
totalNumSamples = np.shape(data)[
0] #no longer used but available for later
print(data)
return data
sys.exit(
'ERROR: user parameters in this script failed to find a valid directory of recordings!'
)
print('loading: ' + RAW_DATA_PATH)
data_dict = OE.load(pathToFile) # returns a dict with data, timestamps, etc.
print(data_dict)
# open ephys's BROKEN (float given but expects int error) downsample code
# def downsample(trace,down):
# downsampled = scipy.signal.resample(trace,np.shape(trace)[0]/down)
# return downsampled
data = OE.loadFolderToArray(RAW_DATA_PATH,
channels=range(FIRST_CH, LAST_CH + 1),
chprefix='CH',
dtype=float,
session='0',
source='100')
print(np.shape(data))
totalNumSamples = np.shape(data)[0] #no longer used but available for later
print(data)
### FIGURE STYLING:
titleFontSize = 120
LINE_WIDTH = 0.5
style.use('fivethirtyeight')
sns.set_style('white')
axes_font_size = 100
axes_font_weight = 'demi'
x_axes_font = {
'fontsize': axes_font_size,
for EvTS in range(len(Events['timestamps'])):
if Events['eventType'][EvTS] == 3: # if event is a TTL
if Events['eventId'][EvTS] == 1: # if TTL is on
TTLSound(find(TempTimestamps==EventsTimestamps(EvTS)): ...
find(TempTimestamps==EventsTimestamps(EvTS+1))) = 1;
end
end
end
else
TTLSound = zeros(size(TempData, 1), size(TempData, 2));
end
disp('Done.')
#%% Filter raw data
OpenEphys.loadFolderToArray(RecFolder)
import glob
import numpy
import os
import Intan
SoundIntFiles = glob.glob('IntanSound/*.int')
LightOnlyIntFiles = glob.glob('IntanLightOnly/*.int')
N = numpy.size(SoundIntFiles, axis=0)
O = numpy.size(LightOnlyIntFiles, axis=0)
os.makedirs('SpkSound', exist_ok=True)
os.makedirs('SpkLightOnly', exist_ok=True)
LFPCh = numpy.array([16, 1]) # Larger number first!!!