https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 New estimation approaches for the hierarchical Linear Ballistic Accumulator model https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41007 Wed 26 Jul 2023 16:23:30 AEST ]]> Comparative estimation systems perform under severely limited workload capacity https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43190 Wed 14 Sep 2022 08:58:24 AEST ]]> Drawing conclusions from choice response time models: a tutorial using the linear ballistic accumulator https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11028 Wed 11 Apr 2018 17:07:02 AEST ]]> Nice guys finish fast and bad guys finish last: facilitatory vs. inhibitory interaction in parallel systems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26022 Wed 11 Apr 2018 14:42:20 AEST ]]> Distribution-free tests of stochastic dominance for small samples https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9868 Wed 11 Apr 2018 14:05:19 AEST ]]> On the use of Nonparametric Regression in Assessing Parametic Regression Model https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2021 Wed 11 Apr 2018 13:01:59 AEST ]]> The form of the forgetting curve and the fate of memories https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11025 Wed 11 Apr 2018 11:40:20 AEST ]]> Generalising the drift rate distribution for linear ballistic accumulators https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26246 Wed 11 Apr 2018 09:42:51 AEST ]]> Estimating across-trial variability parameters of the diffusion decision model: expert advice and recommendations https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44594 Wed 09 Nov 2022 10:19:46 AEDT ]]> The standard relationship between choice frequency and choice time is violated in multi-attribute preferential choice https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54616 Wed 06 Mar 2024 10:46:29 AEDT ]]> Systems Factorial Technology analysis of mixtures of processing architectures https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43643 Tue 27 Sep 2022 10:06:44 AEST ]]> A confirmatory approach for integrating neural and behavioral data into a single model https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33135 Tue 03 Sep 2019 18:23:11 AEST ]]> A simple introduction to Markov Chain Monte-Carlo sampling https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34897 Tue 03 Sep 2019 18:11:33 AEST ]]> Investigating consumer decision strategies with systems factorial technology https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37355 Thu 25 May 2023 12:24:30 AEST ]]> Observing evidence accumulation during multi-alternative decisions https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8021 Sat 24 Mar 2018 08:36:49 AEDT ]]> Linking cognitive and reaching trajectories via intermittent movement control https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20064 Sat 24 Mar 2018 08:00:12 AEDT ]]> Understanding the influence of distractors on workload capacity https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26303 workload capacity of information processing of multidimensional perceptual stimuli. Capacity, which describes how the processing rate of the system changes as the number of stimulus dimensions or attributes is increased, is an important property of information processing systems. Inferences based on one measure of capacity, the capacity coefficient (Townsend and Nozawa, 1995), are typically computed by comparing the processing of single targets, which provide a measure of the baseline processing time of the system, to the processing of a double target. The single targets are typically assumed to be presented alone without any irrelevant distracting information. In this paper, we derive new capacity predictions for situations when distractor information is present. This extension reveals that, with distractors, the value of the capacity coefficient no longer provides unique diagnostic information about the underlying processing system. We further show how to rectify this situation by contrasting distractors of different discriminability.]]> Sat 24 Mar 2018 07:40:40 AEDT ]]> Bayes factors for state-trace analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23688 Sat 24 Mar 2018 07:13:27 AEDT ]]> Assessing cross-modal interference in the detection response task https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37169 Mon 06 May 2024 14:48:49 AEST ]]>