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Significance Humans move their eyes continuously to scan their environment. Yet, the role of eye movements in object recognition is not known. In this work, we recorded eye movements of participants attempting to recognize images that are just above and below the threshold of human recognition. To assess the contribution of retinal dynamics, we modeled the activation patterns resulting from the continuous interactions of eye movements with the viewed image. We then trained a classifier to differentiate recognized from unrecognized trials. We show that recognition could be classified only when the continuous interactions between eye movements and the image were used. We suggest that vision is mediated by continuous interactions between eye movements and the environment, resulting in dynamic oculo-retinal coding.

Oculo-retinal dynamics can explain the perception of minimal recognizable configurations