Recurrent network dynamics reconciles visual motion segmentation and integration.

ABSTRACT: In sensory systems, a range of computational rules are presumed to be implemented by neuronal subpopulations with different tuning functions. For instance, in primate cortical area MT, different classes of direction-selective cells have been identified and related either to motion integration, segmentation or transparency. Still, how such different tuning properties are constructed is unclear. The dominant theoretical viewpoint based on a linear-nonlinear feed-forward cascade does not account for their complex temporal dynamics and their versatility when facing different input statistics. Here, we demonstrate that a recurrent network model of visual motion processing can reconcile these different properties. Using a ring network, we show how excitatory and inhibitory interactions can impl

SUBMITTER: Medathati NVK 

PROVIDER: S-EPMC5595847 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature