Abstract

The standard model of early vision claims that orientation and spatial frequency are encoded with multiple, quasi-independent channels that have fixed spatial frequency and orientation bandwidths. The standard model was developed using detection and discrimination data collected from experiments that used deterministic patterns such as Gabor patches and gratings used as stimuli. However, detection data from experiments using noise as a stimulus suggests that the visual system may use adjustable-bandwidth, rather than fixed-bandwidth, channels. In our previous work, we used classification images as a key piece of evidence against the hypothesis that pattern detection is based on the responses of channels with an adjustable spatial frequency bandwidth. Here we tested the hypothesis that channels with adjustable orientation bandwidths are used to detect two-dimensional, filtered noise targets that varied in orientation bandwidth and were presented in white noise. Consistent with our previous work that examined spatial frequency bandwidth, we found that detection thresholds were consistent with the hypothesis that observers sum information across a broad range of orientations nearly optimally: absolute efficiency for stimulus detection was 20–30% and approximately constant across a wide range of orientation bandwidths. Unlike what we found with spatial frequency bandwidth, the results of our classification image experiment were consistent with the hypothesis that the orientation bandwidth of internal filters were adjustable. Thus, for orientation summation, both detection thresholds and classification images support the adjustable channels hypothesis. Classification images also revealed hallmarks of inhibition or suppression from uninformative spatial frequencies and/or orientations. This work highlights the limitations of the standard model of summation for orientation. The standard model of orientation summation and tuning was chiefly developed with narrow-band stimuli that were not presented in noise, stimuli that are arguably less naturalistic than the variable bandwidth stimuli presented in noise used in our experiments. Finally, the disagreement between the results from our experiments on spatial frequency summation with the data presented in this paper suggests that orientation may be encoded more flexibly than spatial frequency channels.

Highlights

  • Visual noise has been used to investigate visual processing in a variety of tasks (Pelli and Farell, 1999)

  • Two-sided orientation bandwidth, which varied from 2◦ to 180◦, is expressed as the number of Fourier components in the stimulus because the ideal observer’s threshold depends on the number of components, rather than the orientation bandwidth per se

  • The goal of this paper was to determine if the results we found in our previous work on spatial frequency summation (Taylor et al, 2009) extended to orientation summation using visual noise as a stimulus

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Summary

Introduction

Visual noise has been used to investigate visual processing in a variety of tasks (Pelli and Farell, 1999). In virtually all of these studies, the noise was used as a mask and the observer’s task was to ignore the noise to detect a non-noise target. Few studies have used noise as the target stimulus itself. David Green and colleagues used noise in this way to study the mechanisms underlying the detection of auditory signals We use noise targets and noise masks to investigate orientation selectivity of visual mechanisms

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