Abstract

Humans can often recognize faces across viewpoints despite the large changes in low-level image properties a shift in viewpoint introduces. We present a behavioral and an fMRI adaptation experiment to investigate whether this viewpoint tolerance is reflected in the neural visual system and whether it can be manipulated through training. Participants saw training sequences of face images creating the appearance of a rotating head. Half of the sequences showed faces undergoing veridical changes in appearance across the rotation (non-morph condition). The other half were non-veridical: during rotation, the face simultaneously morphed into another face. This procedure should successfully associate frontal face views with side views of the same or a different identity, and, according to the temporal contiguity hypothesis, thus enhance viewpoint tolerance in the non-morph condition and/or break tolerance in the morph condition. Performance on the same/different task in the behavioral experiment (N = 20) was affected by training. There was a significant interaction between training (associated/not associated) and identity (same/different), mostly reflecting a higher confusion of different identities when they were associated during training. In the fMRI study (N = 20), fMRI adaptation effects were found for same-viewpoint images of untrained faces, but no adaptation for untrained faces was present across viewpoints. Only trained faces which were not morphed during training elicited a slight adaptation across viewpoints in face-selective regions. However, both in the behavioral and in the neural data the effects were small and weak from a statistical point of view. Overall, we conclude that the findings are not inconsistent with the proposal that temporal contiguity can influence viewpoint tolerance, with more evidence for tolerance when faces are not morphed during training.

Highlights

  • The human visual system has a remarkable ability to reliably identify objects and faces across large variations in appearance

  • Gain scores on trials with images of different identities, differed significantly between trials with associated images and trials with non-associated images [mean: 7.9%; t(19) = −2.818, p = 0.011, paired t-test]. These results suggest a selective drop in performance for trials showing different faces that had been associated during the training through morphing, indicating that these faces were more often confused, with performance even dropping below pre-training levels

  • In the behavioral experiment, morphing faces during training caused a drop in performance for trials with different identities, indicating that the morphing caused the visual system to mix up the morphed identities

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Summary

Introduction

The human visual system has a remarkable ability to reliably identify objects and faces across large variations in appearance. This skill requires a trade-off between selectivity – which allows us to differentiate between highly similar objects (e.g., two faces) – and tolerance – which is needed to recognize the same object across large changes in appearance (e.g., one face seen at different viewing distances, from different angles or under different lighting conditions). When tackling the question of how learning influences tolerance for variations in appearance, two general answers have been provided. A second possibility is that learning improves tolerance without a need for temporal contiguity

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