neuraltrain.models.freqbandnet.FreqBandNetModel¶ class neuraltrain.models.freqbandnet.FreqBandNetModel(sfreq: float, config: FreqBandNet, n_outputs: int | None = None)[source][source]¶ Simple parametrized filterbank feature extractor (bandpass filters + power extraction + log nonlinearity + optional MLP output head). forward(x: Tensor, eps: float = 1e-08) → Tensor[source][source]¶ Apply filterbank, compute log-power, and optionally classify. Parameters: x (Tensor) – Input time series of shape (B, C, T). eps (float) – Small constant for numerical stability in log.