Model-guided discovery of a retinal chromatic feature detector that signals visual context changes
The retina transforms patterns of light into visual feature representations supporting behaviour. In the mouse, these representations are distributed across more than 30 types of retinal ganglion cells (RGCs), whose spatial and temporal tuning properties have been studied extensively. However, a systematic approach for linking the often nonlinear retinal transformations of natural visual inputs to specific ethological purposes is lacking. Here, we trained a convolutional neural network model (CNN) on large-scale functional two-photon recordings of RGC responses to natural mouse movies, and the
Fri, Mar 10, 2023