Abstract

Simple SummaryComputer monitors, smart phone screens, and other forms of digital displays present a series of still images (frames) in which objects are displaced in small steps, tricking us into perceiving smooth motion. This illusion is referred to as “apparent motion”. For motion to be perceived, the magnitude of each displacement step must be smaller than a certain limit, referred to as . Previous studies have investigated the relationship between this limit and object size in humans and found that the maximum displacement is larger for larger objects than for smaller ones. In this work, we investigated the same relationship in the praying mantis Sphodromantis lineola by presenting them with moving random chequerboard patterns on a computer monitor. Even though motion perception in humans and insects are believed to be explained equally well by the same underlying model, we found that scales differently with object size in mantids. These results suggest that there may be qualitative differences in how mantids perceive apparent motion compared to humans.Apparent motion is the perception of motion created by rapidly presenting still frames in which objects are displaced in space. Observers can reliably discriminate the direction of apparent motion when inter-frame object displacement is below a certain limit, . Earlier studies of motion perception in humans found that is lower-bounded at around 15 arcmin, and thereafter scales with the size of the spatial elements in the images. Here, we run corresponding experiments in the praying mantis Sphodromantis lineola to investigate how scales with the element size. We use random moving chequerboard patterns of varying element and displacement step sizes to elicit the optomotor response, a postural stabilization mechanism that causes mantids to lean in the direction of large-field motion. Subsequently, we calculate as the displacement step size corresponding to a 50% probability of detecting an optomotor response in the same direction as the stimulus. Our main findings are that the mantis scales roughly as a square-root of element size and that, in contrast to humans, it is not lower-bounded. We present two models to explain these observations: a simple high-level model based on motion energy in the Fourier domain and a more-detailed one based on the Reichardt Detector. The models present complementary intuitive and physiologically-realistic accounts of how scales with the element size in insects. We conclude that insect motion perception is limited by only a single stage of spatial filtering, reflecting the optics of the compound eye. In contrast, human motion perception reflects a second stage of spatial filtering, at coarser scales than imposed by human optics, likely corresponding to the magnocellular pathway. After this spatial filtering, mantis and human motion perception and Dmax are qualitatively very similar.

Highlights

  • The detection of motion is an important visual function in all animals

  • We present two computational models for the relationship between Dmax and element size in the mantis: (1) a simplified energy-based model [7] that assumes uniform spatiotemporal sensitivity but still accounts for the qualitative features of our results; and (2) a more-detailed model based on the Hassenstein Reichardt correlator or “Reichardt Detector” (RD) that is widely used to account for large field motion perception in insects [8,9] and is in good agreement with our observations, both qualitatively and quantitatively

  • When the step size was small, the stimulus appeared to humans as a smoothly moving pattern and elicited a postural stabilization mechanism in the mantis, causing them to lean in the direction of motion

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Summary

Introduction

The detection of motion is an important visual function in all animals. Movement can signal the presence of prey, a predator, or a conspecific in the animal’s surrounding environment and is an important cue for many forms of behavior. Measuring Dmax and examining its relationship with other stimuli features can reveal details about the computational mechanisms of motion detection in the visual system It can improve our understanding of how apparent motion is perceived and offer ways to improve video display technologies such as TVs and computer monitors that rely on this phenomenon. We present two computational models for the relationship between Dmax and element size in the mantis: (1) a simplified energy-based model [7] that assumes uniform spatiotemporal sensitivity but still accounts for the qualitative features of our results; and (2) a more-detailed model based on the Hassenstein Reichardt correlator or “Reichardt Detector” (RD) that is widely used to account for large field motion perception in insects [8,9] and is in good agreement with our observations, both qualitatively and quantitatively. The first offers an intuitive explanation for Dmax scaling based on motion energy distribution in the Fourier domain and the second demonstrates consistency with standard motion detection models

Experimental Findings
Model 1
Model 2
Model Comparison
Discussion
Insects
Experimental Setup
Experimental Procedure
Visual Stimulus
Calculating Dmax

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