Alexandra Barayeu

Discussion Theoretical work (Voronenko and Lindner, 2017; Franzen et al., 2023) studied analytically and numerically the weakly nonlinear responses of spike generating LIF and theta model neurons driven by two sine waves with distinct frequencies. We here investigated such nonlinear responses in two types of electroreceptor afferents that differ in their intrinsic noise levels (Grewe et al., 2017) using band-limited white-noise stimuli to estimate second-order susceptibilities.

Abstract Models formalize our understanding of a system and generate hypotheses that can be tested experimentally. In this study, we use a previously developed model of p-type electroreceptor afferents to support electrophysiological observations regarding the encoding of chirps in the electrosensory periphery of the weakly electric fish Apteronotus leptorhynchus. These animals employ their self-generated quasi-sinusoidal electric fields to navigate, find prey, and communicate.

Abstract Neuronal processing is inherently nonlinear -spiking thresholds or rectification in synapses are central to neuronal computations. Nevertheless, linear response theory has been instrumental in understanding, for example, the impact of noise or synchronous spikes on signal transmission, or the emergence of oscillatory activity. At higher signal-to-noise ratios, however, the third term in the Volterra series becomes relevant.