Non-linear auto-regressive models for cross-frequency coupling in neural time series
Fig 5
Driver’s frequency and bandwidth selection (real signals).
(a,c,d) Negative log-likelihood of the fitted model for a grid of filtering parameters fx and Δfx: (a) rodent striatum, (c) rodent hippocampus, (d) human auditory cortex. The optimal bandwidth was very large (3.2 Hz), and the optimal center frequency changed as the bandwidth increased, suggesting that the optimal driver had a wide asymmetrical spectrum. (b) This portion of the rodent striatal signal shows two examples of driver with different bandwidths: The wide-band driver better follows the raw signal, and independently also leads to a better fit in DAR models.