UZH-Logo

Selective attention in multi-chip address-event systems


Bartolozzi, C; Indiveri, G (2009). Selective attention in multi-chip address-event systems. Sensors, 9(7):5076-5098.

Abstract

Selective attention is the strategy used by biological systems to cope with the inherent limits in their available computational resources, in order to efficiently process sensory information. The same strategy can be used in artificial systems that have to process vast amounts of sensory data with limited resources. In this paper we present a neuromorphic VLSI device, the �Selective Attention Chip� (SAC), which can be used to implement these models in multi-chip address-event systems. We also describe a real-time sensory-motor system, which integrates the SAC with a dynamic vision sensor and a robotic actuator. We present experimental results from each component in the system, and demonstrate how the complete system implements a real-time stimulus-driven selective attention model.

Selective attention is the strategy used by biological systems to cope with the inherent limits in their available computational resources, in order to efficiently process sensory information. The same strategy can be used in artificial systems that have to process vast amounts of sensory data with limited resources. In this paper we present a neuromorphic VLSI device, the �Selective Attention Chip� (SAC), which can be used to implement these models in multi-chip address-event systems. We also describe a real-time sensory-motor system, which integrates the SAC with a dynamic vision sensor and a robotic actuator. We present experimental results from each component in the system, and demonstrate how the complete system implements a real-time stimulus-driven selective attention model.

Citations

19 citations in Web of Science®
22 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

42 downloads since deposited on 01 Mar 2010
7 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Uncontrolled Keywords:selective attention
Language:English
Date:2009
Deposited On:01 Mar 2010 08:47
Last Modified:17 Aug 2016 07:03
Publisher:MDPI Publishing
ISSN:1424-8220
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:10.3390/s90705076
Related URLs:http://www.ini.uzh.ch/node/21727 (Organisation)
Permanent URL: http://doi.org/10.5167/uzh-31933

Download

[img]
Preview
Filetype: PDF
Size: 4MB
View at publisher

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations