Figure 6.

Photoreceptor Models of Adaptive Sampling Behave Like Real Photoreceptors

(A–C) Photoreceptor output of Drosophila, Calliphora, and Coenosia, respectively, were simulated by stochastic models. We fixed the number of microvilli and approximated their average bump waveforms (dark red) and latency distributions (gray) from in vivo recordings by adjusting the negative feedback strength within their microvilli (by refixing two global negative feedback parameters: n_s and la; details in Supplemental Information). These photoreceptor models' voltage responses (red) to the repeated presentations of a naturalistic stimulus (NS) pattern behave as their real counterparts (black). Lower insets show the corresponding refractory periods (inter-bump-intervals, yellow), generated by the microvilli of the models to NS. In (A), because of the lower temperature (19°C), this distribution is wider than the one in Figure 5C (25°C).

(D–F) Respective signal-to-noise ratios (SNR) and the corresponding information transfer rates of the simulated responses follow those of the real recordings.