📝 SummarXiv

Abstract

While a great deal is known about the way the retina processes simple stimuli, our understanding of how the retina processes natural stimuli is still limited. Here we highlight some of the challenges that remain to be addressed to understand retinal processing of natural stimuli and describe emerging research avenues to overcome them. A key issue is model complexity. When complexifying the probing stimuli towards natural stimuli, the number of parameters required in models of retinal computations increases, raising issues of overfitting, generalization, and interpretability. This increase in complexity is also a challenge for normative approaches as it makes it difficult to derive non-linear retinal computations from simple principles. We describe two types of approaches that may help circumvent this issue in the future. First, we propose that a new form of reductionism is emerging: instead of breaking down natural stimuli into sums of simpler stimuli, it becomes possible to 'divide and conquer' natural scenes into different visual inputs corresponding to different visual tasks, in order to study retinal computations separately for each of these visual tasks. Second, several studies suggest that it will soon be possible to mitigate the issue of complexity, by 'embodying' the models with more biological constraints, in particularly those derived from connectomic studies. Together, these approaches may offer a powerful strategy to move beyond current limitations and advance our understanding of how the retina processes natural visual environments, and suggest approaches that could be used beyond, for other sensory areas.