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. 2023 Jul 31;3:1230084. doi: 10.3389/fopht.2023.1230084

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Copyright © 2023 Songco-Aguas, Grimes and Rieke

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Computational model accurately predicts rod-cone retinal interference in excitatory synaptic input. (A) top Recording of excitatory synaptic inputs to rod, cone, and combined flicker at 8 Hz. Bottom Modelled responses to rod, cone and combined flicker at 8 Hz for the same cell. (B) The rod-cone kinetic model captures the frequency-dependence of rod-cone signal delays (i.e. phase shifts. Inset shows linear filters from gaussian noise stimuli, as in Figure 6 . (C) The rod-cone kinetic model accurately predicts the amplitude of the empirically-measured rod-cone nonlinear interaction index from the same On Parasol RGCs.