from omb import OMB
from stimulus import Stimulus
exp, stim_nr = '20180710', 8
#exp, stim_nr = 'Kuehn', 13
st = OMB(exp, stim_nr)
glmlabel = 'GLM_motion'
savepath = os.path.join(st.stim_dir, glmlabel)
os.makedirs(savepath, exist_ok=True)
omb_stas = np.array(st.read_datafile()['stas'])
texture_data = st.read_texture_analysis()
all_spikes = st.allspikes()
start = dt.datetime.now()
kall = np.zeros((st.nclusters, 2, st.filter_length))
muall = np.zeros(st.nclusters)
frs = np.zeros(all_spikes.shape)
cross_corrs = np.zeros(st.nclusters)
t = np.linspace(0, st.filter_length * st.frame_duration * 1000,
st.filter_length)
stimulus = st.bgsteps
npd_spikes = all_spikes.copy()
# Exclude spikes that are not in desired direction to zero
pd_spikes[~pd] = 0
npd_spikes[~npd] = 0
#%%
filter_length = 20
contrast = st.generatecontrast(
[100, 100], 100,
filter_length - 1) # subtract one because rw generates one extra
#contrast = st.generatecontrastmaxi([0, 0], 800, filter_length-1) # subtract one because rw generates one extra
contrast_avg = contrast[:, :, filter_length + 1:].mean(axis=-1)
rw = asc.rolling_window(contrast, filter_length, preserve_dim=False)
#%%
texture_file = st.read_texture_analysis()
# Normally the texture stas are contrst avg subtracted
# it will bedone again here, so we add it
stas = texture_file['texturestas'][
choosecells, :] + texture_file['contrast_avg'][None, ..., None]
from scratch_spikeshuffler import shufflebyrow
shuffled_spikes = shufflebyrow(all_spikes)
print('Calculating shuffled_stas')
shuffled_stas = np.einsum('abcd,ec->eabd', rw, shuffled_spikes)
shuffled_stas = shuffled_stas / shuffled_spikes.sum(axis=1)[:, None, None,
None]
print('Calculating pdstas')
