Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation.

ABSTRACT: Today, increasing attention is being paid to research into spike-based neural computation both to gain a better understanding of the brain and to explore biologically-inspired computation. Within this field, the primate visual pathway and its hierarchical organization have been extensively studied. Spiking Neural Networks (SNNs), inspired by the understanding of observed biological structure and function, have been successfully applied to visual recognition and classification tasks. In addition, implementations on neuromorphic hardware have enabled large-scale networks to run in (or even faster than) real time, making spike-based neural vision processing accessible on mobile robots. Neuromorphic sensors such as silicon retinas are able to feed such mobile systems with real-time visual stim

SUBMITTER: Liu Q 

PROVIDER: S-EPMC5090001 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature