Visually-evoked choice behavior driven by distinct population computations with non-sensory neurons in visual cortical areas

Abstract

It is widely assumed that variability in visual detection performance is attributed to the fidelity of the visual responses in visual cortical areas, which could be modulated by fluctuations of internal states such as vigilance and behavioral history. However, it is not clear what neural ensembles represent such different internal states. Here, we utilized a visual detection task, which distinguishes perceptual states to identical stimuli, while recording neurons simultaneously from the primary visual cortex (V1) and the posterior parietal cortex (PPC). We found distinct population dynamics segregating hit responses from misses despite no clear differences in visual responses. The population-level computation was significantly contributed by heterogenous non-sensory neurons in V1, whereas the contribution from non-neurons with the previous outcome selectivity was prominent in PPC. These results indicate different contributions of non-sensory neurons in V1 and PPC for the population-level computation that enables behavioral responses from visual information.