Event-Based Computation of Motion Flow on a Neuromorphic Analog Neural Platform.

ABSTRACT: Estimating the speed and direction of moving objects is a crucial component of agents behaving in a dynamic world. Biological organisms perform this task by means of the neural connections originating from their retinal ganglion cells. In artificial systems the optic flow is usually extracted by comparing activity of two or more frames captured with a vision sensor. Designing artificial motion flow detectors which are as fast, robust, and efficient as the ones found in biological systems is however a challenging task. Inspired by the architecture proposed by Barlow and Levick in 1965 to explain the spiking activity of the direction-selective ganglion cells in the rabbit's retina, we introduce an architecture for robust optical flow extraction with an analog neuromorphic multi-chip system.

SUBMITTER: Giulioni M 

PROVIDER: S-EPMC4754434 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature