https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43190 Wed 14 Sep 2022 08:58:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9500 Wed 11 Apr 2018 14:08:15 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37725 Thu 25 Mar 2021 14:04:52 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:28090 Sat 24 Mar 2018 07:24:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47903 Mon 06 Feb 2023 14:27:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37342 Fri 06 Nov 2020 15:58:40 AEDT ]]>