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fix bug in correlation image calculation #1304

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fix bug in correlation image calculation #1304

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10 changes: 5 additions & 5 deletions caiman/summary_images.py
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Original file line number Diff line number Diff line change
Expand Up @@ -201,7 +201,7 @@ def local_correlations(Y, eight_neighbours: bool = True, swap_dim: bool = True,
Returns:
rho: d1 x d2 [x d3] matrix, cross-correlation with adjacent pixels
"""

print("Testing corr func")
if swap_dim:
Y = np.transpose(Y, tuple(np.hstack((Y.ndim - 1, list(range(Y.ndim))[:-1]))))

Expand Down Expand Up @@ -248,14 +248,14 @@ def local_correlations(Y, eight_neighbours: bool = True, swap_dim: bool = True,
rho_d1 = rho_d1
rho_d2 = rho_d2
rho[:-1, :-1] = rho[:-1, :-1] * rho_d2
rho[1:, 1:] = rho[1:, 1:] * rho_d1
rho[1:, 1:] = rho[1:, 1:] * rho_d2
rho[1:, :-1] = rho[1:, :-1] * rho_d1
rho[:-1, 1:] = rho[:-1, 1:] * rho_d2
rho[:-1, 1:] = rho[:-1, 1:] * rho_d1
else:
rho[:-1, :-1] = rho[:-1, :-1] + rho_d2**(order_mean)
rho[1:, 1:] = rho[1:, 1:] + rho_d1**(order_mean)
rho[1:, 1:] = rho[1:, 1:] + rho_d2**(order_mean)
rho[1:, :-1] = rho[1:, :-1] + rho_d1**(order_mean)
rho[:-1, 1:] = rho[:-1, 1:] + rho_d2**(order_mean)
rho[:-1, 1:] = rho[:-1, 1:] + rho_d1**(order_mean)

neighbors = 8 * np.ones(np.shape(Y)[1:3])
neighbors[0, :] = neighbors[0, :] - 3
Expand Down
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