Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-47189
Liu, S C; Delbruck, T (2010). Neuromorphic sensory systems. Current Opinion in Neurobiology, 20(3):288-295.
- Registered users only
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.
|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||07 Faculty of Science > Institute of Neuroinformatics|
|DDC:||570 Life sciences; biology|
|Date:||1 January 2010|
|Deposited On:||04 Mar 2011 15:45|
|Last Modified:||27 Nov 2013 23:05|
|Series Name:||Current opinion in neurobiology|
|Number of Pages:||7|
|Citations:||Web of Science®. Times Cited: 13|
Scopus®. Citation Count: 29
Users (please log in): suggest update or correction for this item
Repository Staff Only: item control page