bioRxivNeurosciencePreprint
Evidence for face selectivity in early vision
Florence CampanaiD, Jacob G. MartiniD, Levan BokeriaiD, Simon J. ThorpeiD, Xiong JiangiD, Maximilian RiesenhuberiD
Abstract
The commonly accepted "simple-to-complex" model of visual processing in the brain posits that visual tasks on complex objects such as faces are based on representations in high-level visual areas. Yet, recent experimental data showing the visual systems ability to localize faces in natural images within 100ms (Crouzet et al., 2010) challenge the prevalent hierarchical description of the visual system, and instead suggest the hypothesis of face-selectivity in early visual areas. In the present study, we tested this hypothesis with human participants in two eye tracking experiments, an fMRI experiment and an EEG experiment. We found converging evidence for neural representations selective for upright faces in V1/V2, with latencies starting around 40 ms post-stimulus onset. Our findings suggest a revision of the standard "simple-to-complex" model of hierarchical visual processing. Significance statementVisual processing in the brain is classically described as a series of stages with increasingly complex object representations: early visual areas encode simple visual features (such as oriented bars), and high-level visual areas encode representations for complex objects (such as faces). In the present study, we provide behavioral, fMRI, and EEG evidence for representations of complex objects - namely faces - in early visual areas. Our results challenge the standard "simple-to-complex" model of visual processing, suggesting that it needs to be revised to include neural representations for faces at the lowest levels of the visual hierarchy. Such early object representations would permit the rapid and precise localization of complex objects, as has previously been reported for the object class of faces.
- organism: human
- assay: imaging
- research focus: cell type annotation
- research focus: spatial domain detection
- approach: statistical model
- approach: experimental assay
- Citations
- 3
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