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lab commit #5

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9d4159a
lab commit
bouromain Apr 21, 2022
ae9a4cc
Merge branch 'main' into fixconflict
bouromain Apr 21, 2022
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6 changes: 4 additions & 2 deletions hippocampy/detectors.py
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Original file line number Diff line number Diff line change
Expand Up @@ -139,7 +139,7 @@ def sce(
## TO DO
# check the IV from and to bool it seem wrong
# incorporate the restrict to quiet period
T = np.array(T)
T = np.array(T, dtype=bool)
window_len_samples = int(window_len * fs)
n_cells, n_samples = T.shape

Expand All @@ -159,7 +159,9 @@ def sce(
)

T_sum = bn.move_sum(T, window_len_samples, axis=1)
T_sum_shuff = bn.move_sum(T_shuff, window_len_samples, axis=1) # , min_count=1
T_sum_shuff = bn.move_sum(T_shuff, window_len_samples, axis=1) # , min_count=12

# we could restrict the previous vectors here

# now we could to a percentile of the shuffling
avg = bn.nansum(T_sum, axis=0)
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2 changes: 1 addition & 1 deletion hippocampy/utils/gen_utils.py
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Expand Up @@ -47,7 +47,7 @@ def start_stop(B: np.ndarray, axis=-1):
stops: np.ndarray
boolean array with True values for stops
"""
B = np.array(B, dtype=bool, ndmin=2)
B = np.array(B, ndmin=2)
start = np.empty_like(B, dtype=bool)
stop = np.empty_like(B, dtype=bool)

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2 changes: 1 addition & 1 deletion hippocampy/wavelet.py
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Expand Up @@ -88,7 +88,7 @@ def _calc_sigma(coeffs, scaling, axis):
def wden(
data,
*,
wavelet_name="sym5",
wavelet_name="sym4",
level=None,
noise_est_method="sqtwolog",
scaling="mln",
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