Changes of AI receptive fields with sound density.

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Normalization as a canonical neural computation (2011, background): “For example, the spectrotemporal receptive field provides only a rough approximation to an A1 neuron's responses, and it seems to change depending on the stimulus set that is used to measure i”
Nonlinearities and Contextual Influences in Auditory Cortical Responses Modeled with Multilinear Spectrotemporal Methods (2008, unknown): “The dependence of the STRF on the spectral density of a DRC can be summarized as follows (Blake and Merzenich, 2002): a higher spectral density leads, on average, to a lower excitatory peak in the STRF, and in some cells, the suppressive region only appears at higher spectral densities.”
Contrast Gain Control in Auditory Cortex (2011, unknown): “Tuning of auditory cortical neurons has been shown to depend on stimulus context, such as tone density (Blake and Merzenich, 2002), stimulus bandwidth (Gourévitch et al.”
Rapid synaptic depression explains nonlinear modulation of spectro-temporal tuning in primary auditory cortex by natural stimuli (2009, background): “These differences reflect the effects of the fine spectro-temporal structure of speech, perhaps local changes in spectral density or bandwidth, which have been shown to modulate STRFs in A1 (Blake and Merzenich, 2002; Gourevitch et al., 2008).”