Abstract

Sensory systems adapt to prolonged stimulation by decreasing their response to continuous stimuli. Whereas visual motion adaptation has traditionally been studied in immobilized animals, recent work indicates that the animal's behavioral state influences the response properties of higher-order motion vision-sensitive neurons. During insect flight octopamine is released, and pharmacological octopaminergic activation can induce a fictive locomotor state. In the insect optic ganglia, lobula plate tangential cells (LPTCs) spatially pool input from local elementary motion detectors (EMDs) that correlate luminosity changes from two spatially discrete inputs after delaying the signal from one. The LPTC velocity optimum thereby depends on the spatial separation of the inputs and on the EMD's delay properties. Recently it was shown that behavioral activity increases the LPTC velocity optimum, with modeling suggesting this to originate in the EMD's temporal delay filters. However, behavior induces an additional post-EMD effect: the LPTC membrane conductance increases in flying flies. To physiologically investigate the degree to which activity causes presynaptic and postsynaptic effects, we conducted intracellular recordings of Eristalis horizontal system (HS) neurons. We constructed contrast response functions before and after adaptation at different temporal frequencies, with and without the octopamine receptor agonist chlordimeform (CDM). We extracted three motion adaptation components, where two are likely to be generated presynaptically of the LPTCs, and one within them. We found that CDM affected the early, EMD-associated contrast gain reduction, temporal frequency dependently. However, a CDM-induced change of the HS membrane conductance disappeared during and after visual stimulation. This suggests that physical activity mainly affects motion adaptation presynaptically of LPTCs, whereas post-EMD effects have a minimal effect.

Highlights

  • Sensory systems provide physiologically relevant representations of the surrounding world (Atick, 1992; Rieke et al, 1995; Simoncelli and Olshausen, 2001; Field and Chichilnisky, 2007)

  • We investigated the power spectral density of the membrane potential and show that CDM changes the input resistance of lobula plate tangential cell (LPTC) when there is no visual stimulation, but that this effect disappears during and after stimulation, suggesting that it is unlikely to contribute to the effects seen on motion adaptation and velocity tuning

  • To investigate the presynaptic and postsynaptic contributions to the previously reported CDM-induced, temporal frequency dependent effect on visual motion adaptation (Longden and Krapp, 2010; Jung et al, 2011), we used test-adapt-test protocols in which we varied the contrast of the test pattern and adapted at four different temporal frequencies (Figure 1A)

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Summary

Introduction

Sensory systems provide physiologically relevant representations of the surrounding world (Atick, 1992; Rieke et al, 1995; Simoncelli and Olshausen, 2001; Field and Chichilnisky, 2007). To be able to code these broad inputs, and to enable signaling of even small deviations, each neuron adapts to the currently prevailing stimulus conditions (Maddess and Laughlin, 1985; Ulanovsky et al, 2003; Kurtz et al, 2009a). The process of such neural adaptation is well studied in a number of systems, ranging from primate cortical MT neurons (Kohn and Movshon, 2003), through the cat visual (Hu et al, 2011) and auditory cortex (Ulanovsky et al, 2003), and the visual inter-neurons of the fly lobula plate These studies show that adaptation changes the neural coding range to code the distribution of stimuli that is being encountered, by shifting the sensitivity range to the current mean stimulus and reducing the output to a continuous stimulus (Maddess and Laughlin, 1985; Kurtz et al, 2009a), and by adjusting the coding sensitivity to the spread of the stimulus (Fairhall et al, 2001; Ulanovsky et al, 2003)

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