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Update README.md

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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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David Rotermund 2024-02-15 17:27:44 +01:00 committed by GitHub
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1 changed files with 4 additions and 3 deletions
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data_analysis/spectral_coherence/README.md
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@ -342,12 +342,12 @@ def calculate_spectral_coherence(
)
if trial_id == 0:
calculation = wave_data_a * wave_data_b
calculation = wave_data_a * np.conj(wave_data_b)
norm_data_a = np.abs(wave_data_a) ** 2
norm_data_b = np.abs(wave_data_b) ** 2
else:
calculation += wave_data_a * wave_data_b
calculation += wave_data_a * np.conj(wave_data_b)
norm_data_a += np.abs(wave_data_a) ** 2
norm_data_b += np.abs(wave_data_b) ** 2
@ -355,7 +355,7 @@ def calculate_spectral_coherence(
norm_data_a /= float(n_trials)
norm_data_b /= float(n_trials)
coherence = np.abs(calculation) ** 2 / (norm_data_a * norm_data_b)
coherence = np.abs(calculation) ** 2 / ((norm_data_a * norm_data_b) + 1e-20)
return np.nanmean(coherence, axis=-1), frequency_axis, t
@ -377,6 +377,7 @@ rng = np.random.default_rng(1)
n_t: int = 1000
n_trials: int = 100
t: np.ndarray = np.arange(0, n_t) * dt
amplitude: float = 0.75
x = dt * 2.0 * np.pi * (f_base + f_delta * 2 * (rng.random((n_t, n_trials)) - 0.5))