Fig. 11.

Comparison of feature receptive field (FRF) for a neuron with its spectrotemporal receptive field (STRF). A: psuedocolor plot of the FRF estimated from a neuron's responses to note noise. Note noise consists of all the notes extracted from a 10-s segment of starling song (D, top) presented in random order. Each row in the FRF is the estimated response to one of the notes, ranked in order of peak response. Columns represent the time after the note onset. Bluer colors are negative and redder colors are positive. B: the FRF for the same neuron estimated from responses to fragment noise, which is generated from the same song but with alternate segmentation designed to break up the note structure. C: STRF of the neuron estimated with maximally informative dimensions from the responses to note and fragment noise. By convention, the STRF is plotted with negative lags; responses are highest when the spectrogram of the song matches the STRF. D: the spectrogram of one of the songs used to construct the FRF and STRF is shown in the top panel. Second panel: raster plot of the neuron's response to the song. The bottom panels show the predictions of the note FRF, fragment FRF, and STRF in red, with the smoothed response shown in black. CCRs for the 3 predictions are 0.77, 0.66, and 0.50. For clarity, the responses have been smoothed with a larger kernel than used in the model (23- vs. 10-ms bandwidth).