Neural Information Processing Systems http://nips.cc/

Humans and animals are capable of flexibly switching between a multitude of tasks,eachrequiringrapid,sensory-informed decisionmaking. Incomingstimuli are processed by ahierarchyof neural circuits consisting of millions of neurons withdiversefeatureselectivity.

Perception, in theoretical neuroscience, has been modeled as the encoding of external stimuli into internal signals, which are then decoded.

Determining how much of the sensory information carried by a neural code contributes to behavioral performance is key to understand sensory function and neural information flow. However, there are as yet no analytical tools to compute this information that lies at the intersection between sensory coding and behavioral readout.

Though the ability to compute over abstract visual relations is thought to be fundamental to human visual intelligence (Ullman, 1987; Hespos et al., 2021), the ability of neural networks to perform such