Abstract

White noise techniques have been used widely to investigate sensory systems in both vertebrates and invertebrates. White noise stimuli are powerful in their ability to rapidly generate data that help the experimenter decipher the spatio-temporal dynamics of neural and behavioral responses. One type of white noise stimuli, maximal length shift register sequences (m-sequences), have recently become particularly popular for extracting response kernels in insect motion vision. We here use such m-sequences to extract the impulse responses to figure motion in hoverfly lobula plate tangential cells (LPTCs). Figure motion is behaviorally important and many visually guided animals orient towards salient features in the surround. We show that LPTCs respond robustly to figure motion in the receptive field. The impulse response is scaled down in amplitude when the figure size is reduced, but its time course remains unaltered. However, a low contrast stimulus generates a slower response with a significantly longer time-to-peak and half-width. Impulse responses in females have a slower time-to-peak than males, but are otherwise similar. Finally we show that the shapes of the impulse response to a figure and a widefield stimulus are very similar, suggesting that the figure response could be coded by the same input as the widefield response.

Highlights

  • White-noise stimuli have been used successfully in visual research in many vertebrates and insects (e.g. [1,2,3])

  • We show that the impulse response to a high-contrast, vertical bar maintains its timecourse, even when the figure is reduced in size, and that the time-to-peak does not vary significantly across the receptive field

  • White noise techniques describe the relationship between the stimulus input (x(t), the m-sequence) and the output ((y(t), the neural membrane potential) [7]

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Summary

Introduction

White-noise stimuli have been used successfully in visual research in many vertebrates and insects (e.g. [1,2,3]). White-noise stimuli have been used successfully in visual research in many vertebrates and insects White-noise stimuli are powerful in that they relatively rapidly provide the data needed to extract the spatio-temporal response dynamics to a particular stimulus. They have been used to e.g. deduce the directional sensitivity of dragonfly ocellar neurons [4], to record the spatiotemporal dynamics of optic flow sensitive neurons in blowflies [5], and to map the receptive fields of primate retinal neurons [6]. White-noise techniques may treat the relationship between a given input (e.g. a stimulus) and the output (e.g. a biological response) as a time invariant linear system. PLOS ONE | DOI:10.1371/journal.pone.0126265 May 8, 2015

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