Computational event-driven vision sensors that convert motion into spiking signals

Neuromorphic vision sensors are unique sensing devices that automatically respond to environmental changes, such as a different brightness in their surrounding environment. These sensors mimic the functioning of the human nervous system, artificially replicating the ability of sensory neurons to preferentially respond to changes in the sensed environment.