Zero-shot learning of decodable natural features from the retina using a U-net
Siwei Wang, Benjamin Hoshal, Elizabeth de Laittre, Olivier Marre, Michael Berry, Stephanie Palmer · COSYNE 2023
Much of sensory neuroscience focuses on presenting stimuli that are chosen by the experimenter because they are parametric and easy to sample and are thought to be behaviorally relevant to the organism. However, it is not generally known what the relevant features are in complex, natural scenes. This work focuses on using the retinal encoding of natural movies to determine the presumably behaviorally-relevant features that the brain represents. It is prohibitive to parameterize a natural movie and its respective retinal encoding fully. We use time within a natural movie as a proxy for the whol
Sat, Mar 11, 2023