GPNs predicting upcoming visual features during eye movements produce scene representations that strongly align with human visual cortex responses.
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GPNs predicting upcoming visual features during eye movements produce scene representations that strongly align with human visual cortex responses.
High environmental volatility increases response caution in visual search, with longer response times, more fixations, and longer final-target dwell times, without changing target-acquisition latency.
Humans' ability to discriminate spatial patterns in the visual periphery is matched by models at a critical scaling that is approximately one-fourth for luminance compared to spectral energy features.
Humans and models match in discriminating visual features with pooling windows scaled to about one-fourth in luminance compared to spectral energy across large stimuli.
Developmental prosopagnosics show normal pRF size and spatial integration across visual areas despite face recognition deficits.
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