Abstract
A neural network mechanism that can compensate for poor optical quality was recently discovered in a biological context. We propose that this mechanism can and should be adopted for astronomical purposes. This would shift emphasis away from the quality of the optical equipment to information processing, hence should decrease the cost and make larger instruments feasible.
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