A computational model of saliency map read-out during visual search
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743, Vol: 5164 LNCS, Issue: PART 2, Page: 433-442
2008
- 16Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures16
- Readers16
- 16
Conference Paper Description
When searching for a target in a visual scene filled with distractors, the mechanism of inhibition of return prevents revisiting previously attended locations. We proposed a new computational model for the inhibition of return, which is able to examine priority or saliency map in a manner consistent with psychophysical findings. The basic elements of the model are two neural integrators connected with two inhibitory interneurons. The integrators keep the saliency value of the currently attended location in the working memory. The inhibitory inter-neurons modulate a feedforward flow of information between the saliency map and the output map which points to the location of interest. Computer simulations showed that the model is able to read-out the saliency map when the objects are moving or when eye movements are present. Also, it is able to simultaneously select more then one location, even when they are non-contiguous. The model can be considered as a neural implementation of the episodic theory of attention. © 2008 Springer-Verlag Berlin Heidelberg.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=51849105539&origin=inward; http://dx.doi.org/10.1007/978-3-540-87559-8_45; http://link.springer.com/10.1007/978-3-540-87559-8_45; http://link.springer.com/content/pdf/10.1007/978-3-540-87559-8_45.pdf; http://www.springerlink.com/index/10.1007/978-3-540-87559-8_45; http://www.springerlink.com/index/pdf/10.1007/978-3-540-87559-8_45; https://dx.doi.org/10.1007/978-3-540-87559-8_45; https://link.springer.com/chapter/10.1007/978-3-540-87559-8_45
Springer Science and Business Media LLC
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