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Using Optimality to Predict Photoreceptor Distribution in the Retina

机译:使用最优性预测视网膜中感光细胞的分布

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The concept of evolution implies that fitness traits of an organism tend toward some constrained optimality. Here, the fitness trait we consider is the distribution of photoreceptors on an organism's retina. We postulate that an organism's photoreceptor distribution optimizes some balance between two quantities, a benefit and a cost. The benefit is defined as the area of the field of vision. The cost is defined as the amount of time spent saccading to some target in the visual field; during this time we assume nothing is seen. Three constraints are identified. First, we assume proportional noise exists in the motor command. Second, we assume saccades are a noisy process. Third, we constrain the number of total photoreceptors. This simplified model fails to predict the human retinal photoreceptor distribution in full detail. Encouragingly, the photoreceptor distribution it predicts gets us closer to that goal. We discuss possible reasons for its current failure, and we suggest future research directions.
机译:进化的概念意味着有机体的适应性特征趋向于某些约束的最优性。在这里,我们考虑的适应性特征是感光体在生物体视网膜上的分布。我们假设生物体的感光体分布优化了两个数量(收益和成本)之间的某种平衡。收益定义为视野范围。成本定义为在视场中到达某个目标所花费的时间;在这段时间里,我们假设什么也没看到。确定了三个约束。首先,我们假设电动机命令中存在比例噪声。其次,我们假设扫视是一个嘈杂的过程。第三,我们限制总感光体的数量。这种简化的模型无法完全预测人类视网膜感光器的分布。令人鼓舞的是,它预测的感光体分布使我们更接近该目标。我们讨论了其当前故障的可能原因,并提出了未来的研究方向。

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