https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26023 Wed 11 Apr 2018 14:54:25 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26022 Wed 11 Apr 2018 14:42:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9687 Wed 11 Apr 2018 11:05:55 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51057 Thu 17 Aug 2023 10:21:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12492 Sat 24 Mar 2018 08:17:12 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:18903 Sat 24 Mar 2018 08:03:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25952 capacity coefficient from Systems Factorial Technology (SFT) as a quantitative approach for formalizing and rigorously testing predictions made by local and Gestalt theories of features. As a simple, easily controlled domain for testing this approach, we focus on the local feature of location and the emergent features of Orientation and Proximity in a pair of dots. We introduce a redundant-target change detection task to compare our capacity measure on (1) trials where the configuration of the dots changed along with their location against (2) trials where the amount of local location change was exactly the same, but there was no change in the configuration. Our results, in conjunction with our modeling tools, favor the Gestalt account of emergent features. We conclude by suggesting several candidate information-processing models that incorporate emergent features, which follow from our approach.]]> Sat 24 Mar 2018 07:41:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46267 Mon 14 Nov 2022 15:00:08 AEDT ]]>