spectral_entropy

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spectral_entropy#

class braintools.metric.spectral_entropy(lfp, dt, freq_range=(1, 100))#

Compute the normalized spectral entropy of an LFP signal.

Parameters:

  • lfp (Array | ndarray | bool | number | bool | int | float | complex | Quantity) – LFP signal with shape (n_time,) (multi-channel input is averaged into a single spectrum before the entropy is computed).

  • dt (float | Quantity) – Sampling interval (seconds if a float; converted if a Quantity).

  • freq_range (Tuple[float, float]) – Frequency range (Hz) for the entropy calculation.

Returns:

entropy – Normalized spectral entropy in [0, 1] (0 = most regular / peaked, 1 = flat / most random).

Return type:

Array

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