A model of the development of anisometropic amblyopia through recruitment of interocular suppression

Eckmann, Samuel; Klimmasch, Lukas; Shi, Bertram E.; Triesch, Jochen

doi:10.1167/18.10.942

Cited by 1 publication

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“…The present model may also have implications for developmental disorders of the visual system such as strabismus and amblyopia (Eckmann et al, 2018). As a first model of how sensory and motor aspects of binocular and motion vision jointly develop and self-calibrate, it may be a useful testbed for studying what factors can derail this development in developmental disorders and what treatments may bring it back on track.…”

Section: Discussionmentioning

confidence: 94%

Autonomous Development of Active Binocular and Motion Vision Through Active Efficient Coding

et al. 2019

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We present a model for the autonomous and simultaneous learning of active binocular and motion vision. The model is based on the Active Efficient Coding (AEC) framework, a recent generalization of classic efficient coding theories to active perception. The model learns how to efficiently encode the incoming visual signals generated by an object moving in 3-D through sparse coding. Simultaneously, it learns how to produce eye movements that further improve the efficiency of the sensory coding. This learning is driven by an intrinsic motivation to maximize the system's coding efficiency. We test our approach on the humanoid robot iCub using simulations. The model demonstrates self-calibration of accurate object fixation and tracking of moving objects. Our results show that the model keeps improving until it hits physical constraints such as camera or motor resolution, or limits on its internal coding capacity. Furthermore, we show that the emerging sensory tuning properties are in line with results on disparity, motion, and motion-in-depth tuning in the visual cortex of mammals. The model suggests that vergence and tracking eye movements can be viewed as fundamentally having the same objective of maximizing the coding efficiency of the visual system and that they can be learned and calibrated jointly through AEC.

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Section: Discussionmentioning

confidence: 94%