Neuromorphic sensory systems.
Biology provides examples of efficient machines which greatly outperform conventional technology. Designers in neuromorphic engineering aim to construct electronic systems with the same efficient style of computation. This task requires a melding of novel engineering principles with knowledge gleaned from neuroscience. We discuss recent progress in realizing neuromorphic sensory systems which mimic the biological retina and cochlea, and subsequent sensor processing. The main trends are the increasing number of sensors and sensory systems that communicate through asynchronous digital signals analogous to neural spikes; the improved performance and usability of these sensors; and novel sensory processing methods which capitalize on the timing of spikes from these sensors. Experiments using these sensors can impact how we think the brain processes sensory information.
Liu
Shih-Chii
SC
Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland. shih@ini.phys.ethz.ch <shih@ini.phys.ethz.ch>
Delbruck
Tobi
T
D001185:Artificial Intelligence; D006309:Hearing / Q000502:physiology*; D006801:Humans; D016571:Neural Networks, Computer; D009482:Neurophysiology / Q000379:methods / Q000639:trends; D010363:Pattern Recognition, Automated / Q000379:methods / Q000639:trends*; D012371:Robotics / Q000379:methods / Q000639:trends; D014785:Vision, Ocular / Q000502:physiology*