Abstract

Throughout the brain, information from individual sources converges onto higher order neurons. For example, information from the two eyes first converges in binocular neurons in area V1. Some neurons are tuned to similarities between sources of information, which makes intuitive sense in a system striving to match multiple sensory signals to a single external cause-that is, establish causal inference. However, there are also neurons that are tuned to dissimilar information. In particular, some binocular neurons respond maximally to a dark feature in one eye and a light feature in the other. Despite compelling neurophysiological and behavioral evidence supporting the existence of these neurons [Katyal, S., Vergeer, M., He, S., He, B., & Engel, S. A. Conflict-sensitive neurons gate interocular suppression in human visual cortex. Scientific Reports, 8, 1239, 2018; Kingdom, F. A. A., Jennings, B. J., & Georgeson, M. A. Adaptation to interocular difference. Journal of Vision, 18, 9, 2018; Janssen, P., Vogels, R., Liu, Y., & Orban, G. A. At least at the level of inferior temporal cortex, the stereo correspondence problem is solved. Neuron, 37, 693-701, 2003; Tsao, D. Y., Conway, B. R., & Livingstone, M. S. Receptive fields of disparity-tuned simple cells in macaque V1. Neuron, 38, 103-114, 2003; Cumming, B. G., & Parker, A. J. Responses of primary visual cortical neurons to binocular disparity without depth perception. Nature, 389, 280-283, 1997], their function has remained opaque. To determine how neural mechanisms tuned to dissimilarities support perception, here we use electroencephalography to measure human observers' steady-state visually evoked potentials in response to change in depth after prolonged viewing of anticorrelated and correlated random-dot stereograms (RDS). We find that adaptation to anticorrelated RDS results in larger steady-state visually evoked potentials, whereas adaptation to correlated RDS has no effect. These results are consistent with recent theoretical work suggesting "what not" neurons play a suppressive role in supporting stereopsis [Goncalves, N. R., & Welchman, A. E. "What not" detectors help the brain see in depth. Current Biology, 27, 1403-1412, 2017]; that is, selective adaptation of neurons tuned to binocular mismatches reduces suppression resulting in increased neural excitability.

Highlights

  • It remains an important challenge in neuroscience to understand how the brain combines a pair of 2-D retinal images to support 3-D perception

  • In line with the prediction, we found that state visually evoked potentials (SSVEP) signal-to-noise ratio (SNR) was significantly higher following adaptation to anticorrelated RDSs (aRDSs) compared with correlated RDSs (cRDSs) (paired t test, all participants: t(30) = 2.49, p=.019; participants with baseline: t(21) = 2.77, p = .011; Figure 2E; 19 of 31 participants showed the effect)

  • We found no significant difference in the 4-Hz SSVEP SNR between aRDS and cRDS adaptation conditions (paired t test, t(21) = 1.46, p = .159)

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Summary

Introduction

It remains an important challenge in neuroscience to understand how the brain combines a pair of 2-D retinal images to support 3-D perception This problem has been framed as one of matching features between the two eyes, that is, solving the “stereoscopic correspondence problem,” so that the depth of objects can be triangulated (Julesz & Chang, 1976; Marr & Poggio, 1976). Random-dot stereograms (RDSs) are frequently used to investigate binocular vision because of their ability to divorce information about 2-D form from differences between the two eyes. These stimuli are composed of many self-similar features, potentially posing a severe challenge to establishing binocular correspondence. The classic framework for understanding stereopsis is to find correspondence by considering a range of potential disparities and selecting the offset that

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