Abstract

We effortlessly recognize objects across changes in viewpoint, but we know relatively little about the features that underlie viewpoint invariance in the brain. Here, we set out to characterize how viewpoint invariance in monkey inferior temporal (IT) neurons is influenced by two image manipulations-silhouetting and inversion. Reducing an object into its silhouette removes internal detail, so this would reveal how much viewpoint invariance depends on the external contours. Inverting an object retains but rearranges features, so this would reveal how much viewpoint invariance depends on the arrangement and orientation of features. Our main findings are 1) view invariance is weakened by silhouetting but not by inversion; 2) view invariance was stronger in neurons that generalized across silhouetting and inversion; 3) neuronal responses to natural objects matched early with that of silhouettes and only later to that of inverted objects, indicative of coarse-to-fine processing; and 4) the impact of silhouetting and inversion depended on object structure. Taken together, our results elucidate the underlying features and dynamics of view-invariant object representations in the brain.NEW & NOTEWORTHY We easily recognize objects across changes in viewpoint, but the underlying features are unknown. Here, we show that view invariance in the monkey inferotemporal cortex is driven mainly by external object contours and is not specialized for object orientation. We also find that the responses to natural objects match with that of their silhouettes early in the response, and with inverted versions later in the response-indicative of a coarse-to-fine processing sequence in the brain.

Highlights

  • NEW & NOTEWORTHY We recognize objects across changes in viewpoint, but the underlying features are unknown

  • We have characterized the baseline invariance expected from image pixels, the view invariance observed in inferior temporal (IT) neurons, the dynamic transition from early-view sensitivity to late-view invariance, and compared view invariance in IT with several computational models

  • We investigated the effect of silhouetting and inversion on view invariance in monkey IT neurons across many objects tested at two views

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Summary

Introduction

NEW & NOTEWORTHY We recognize objects across changes in viewpoint, but the underlying features are unknown. An obvious approach would be to study how viewpoint invariance is affected by systematic image manipulations. Our goal was to elucidate the features underlying view invariance in the brain through systematic image manipulations. Silhouetting is interesting because it removes all internal detail It would show how much view invariance is based on external contours alone. While individual IT neurons show strong tuning for orientation (Ashbridge et al 2000; Rollenhagen and Olson 2000; Yamane et al 2006), the impact of inversion in general on neuronal selectivity and view invariance in IT has not been systematically investigated. We investigated how view invariance and selectivity of IT neurons is affected by silhouetting and inversion. Our results are likely to hold across smaller viewpoint changes since the image itself does not change much, and across larger viewpoint changes, www.jn.org

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