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Saturation of visual responses explains size tuning in rat collicular neurons

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The receptive field of many visual neurons is composed of a central responsive area, the classical receptive field, and a non‐classical receptive field, also called the “suppressive surround.” A visual… Click to show full abstract

The receptive field of many visual neurons is composed of a central responsive area, the classical receptive field, and a non‐classical receptive field, also called the “suppressive surround.” A visual stimulus placed in the suppressive surround does not induce any response but modulates visual responses to stimuli within the classical receptive field, usually by suppressing them. Therefore, visual responses become smaller when stimuli exceed the classical receptive field size. The stimulus size inducing the maximal response is called the preferred stimulus size. In cortex, there is good correspondence between the sizes of the classical receptive field and the preferred stimulus. In contrast, in the rodent superior colliculus, the preferred size is often several fold smaller than the classical receptive field size. Here, we show that in the rat superior colliculus, the preferred stimulus size changes as a square root of the contrast inverse and the classical receptive field size is independent of contrast. In addition, responses to annulus were largely independent of the inner hole size. To explain these data, three models were tested: the divisive modulation of the gain by the suppressive surround (the “normalization” model), the difference of the Gaussians, and a divisive model that incorporates saturation to light flux. Despite the same number of free parameters, the model incorporating saturation to light performed the best. Thus, our data indicate that in rats, the saturation to light can be a dominant phenomenon even at relatively low illumination levels defining visual responses in the collicular neurons.

Keywords: receptive field; visual responses; classical receptive; size; collicular neurons

Journal Title: European Journal of Neuroscience
Year Published: 2022

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