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Selective Attention in Multi-Chip Address-Event Systems
Robotics, Brain and Cognitive Sciences Department, Italian Institute of Technology (IIT), via Morego 30, I-16163 Genova, Italy
Institute of Neuroinformatics, University of Zurich and ETH Zurich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland
* Author to whom correspondence should be addressed.
Received: 7 April 2009; in revised form: 28 May 2009 / Accepted: 23 June 2009 / Published: 26 June 2009
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.
Keywords: analog VLSI; subthreshold; selective attention; multi-chip system; Address- Event Representation (AER); saliency-map; winner-take-all (WTA)
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MDPI and ACS Style
Bartolozzi, C.; Indiveri, G. Selective Attention in Multi-Chip Address-Event Systems. Sensors 2009, 9, 5076-5098.
Bartolozzi C, Indiveri G. Selective Attention in Multi-Chip Address-Event Systems. Sensors. 2009; 9(7):5076-5098.
Bartolozzi, Chiara; Indiveri, Giacomo. 2009. "Selective Attention in Multi-Chip Address-Event Systems." Sensors 9, no. 7: 5076-5098.