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Inhomogeneous retino-cortical mapping is supported and stabilized with correlation-learning during self-motion

机译:自我运动过程中的相关学习可支持并稳定不均匀的视网膜皮层映射

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In primates, the area of primary visual cortex representing a fixed area of visual space decreases with increasing eccentricity. We identify visual situations to which this inhomogeneous retino-cortical mapping is well adapted and study their relevance during natural vision and development. We assume that cortical activations caused by stationary objects during self-motion along the direction of gaze travel on average with constant speed across the cortical surface, independent of retinal eccentricity. This is the case if the distribution of objects corresponds to an ellipsoid with the observer in its center. We apply the resulting flow field to train a simple network of pulse coding neurons with Hebbian learning and demonstrate that the density of learned receptive field centers is in close agreement with primate retino-cortical magnification. In addition, the model reproduces the increase of receptive field size and the decrease of its peak sensitivity with increasing eccentricity. Our results suggest that self-motion may have played an important role in the evolution of the visual system and that cortical magnification can be refined and stabilized by Hebbian learning mechanisms in ontogenesis under natural viewing conditions.
机译:在灵长类动物中,代表视觉空间固定区域的主要视觉皮质区域随着偏心率的增加而减小。我们确定这种不均匀的视网膜皮层映射适应的视觉情况,并研究它们在自然视觉和发育过程中的相关性。我们假设由静止物体在凝视方向上自我运动期间引起的皮质激活平均以恒定速度在皮质表面上移动,而与视网膜偏心率无关。如果对象的分布对应于以观察者为中心的椭圆体,则为这种情况。我们将产生的流场应用于具有Hebbian学习的脉冲编码神经元的简单网络训练,并证明学习到的感受野场中心的密度与灵长类视网膜皮质放大倍数密切相关。此外,该模型再现了随着偏心率的增加,接收场大小的增加和峰值灵敏度的减小。我们的研究结果表明,自我运动可能在视觉系统的进化中发挥了重要作用,并且在自然观察条件下,可以通过本体学习中的Hebbian学习机制来完善和稳定皮层放大倍数。

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