https://novaprd-lb.newcastle.edu.au/vital/access/manager/Index en-au 5 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:54336 Wed 28 Feb 2024 15:12:08 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:50471 Wed 26 Jul 2023 15:35:38 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:47713 N = 174) of healthy adolescents and young adults (15–35 years). Using a stop-signal paradigm with a number parity go task, we implemented a novel hierarchical Bayesian model of response inhibition that estimates stop-signal reaction time (SSRT) as a distribution and also accounts for failures to react to the stop-signal (i.e., “trigger failure”), and failure to react to the choice stimulus (i.e., “go failure” or omission errors). In line with previous studies, the model reduced estimates of SSRT by approximately 100 ms compared with traditional non-parametric SSRT estimation techniques. We found significant relationships between behavioural and self-report measures of impulsivity and traditionally estimated SSRT, that did not hold for the model-based SSRT estimates. Instead, behavioural impulsivity measures were correlated with rate of trigger failure. The relationship between trigger failure and impulsivity suggests that the former may index a higher order inhibition process, whereas SSRT may index a more automatic inhibition process. We suggest that the existence of distinct response inhibition processes that may be associated with different levels of cognitive control.]]> Wed 25 Jan 2023 11:37:35 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:43286 Wed 24 May 2023 10:25:16 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:42040 Wed 17 Aug 2022 12:20:19 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:43187 Wed 14 Sep 2022 08:51:30 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:54799 Wed 13 Mar 2024 11:28:23 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:50257 Wed 12 Jul 2023 10:27:00 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8161 Wed 11 Apr 2018 17:22:34 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:18253 Wed 11 Apr 2018 17:22:11 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:11028 Wed 11 Apr 2018 17:07:02 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:9435 Wed 11 Apr 2018 16:57:56 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:19437 Wed 11 Apr 2018 16:27:02 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:11027 Wed 11 Apr 2018 16:24:26 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:16005 Wed 11 Apr 2018 16:10:31 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:15562 Wed 11 Apr 2018 16:08:29 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:21581 between-choice noise) dominate the effects of fluctuations occurring while making a choice (within-choice noise) in behavioral data (i.e., response times and choices). The latter deterministic approximation, when combined with the assumption that accumulation is linear, leads to a class of models that can be readily applied to simple-choice behavior because they are computationally tractable. We develop a new and mathematically simple exemplar within the class of linear deterministic models, the Lognormal race (LNR). We then examine how the LNR, and another widely applied linear deterministic model, Brown and Heathcote’s (2008) LBA, account for a range of benchmark simple-choice effects in lexical-decision task data reported by Wagenmakers et al. (2008). Our results indicate that the LNR provides an accurate description of this data. Although the LBA model provides a slightly better account, both models support similar psychological conclusions.]]> Wed 11 Apr 2018 15:50:48 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:14484 Wed 11 Apr 2018 15:32:01 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:9710 Wed 11 Apr 2018 15:31:10 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:10687 Wed 11 Apr 2018 15:05:25 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:11033 Wed 11 Apr 2018 14:33:27 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:9500 Wed 11 Apr 2018 14:08:15 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:9868 Wed 11 Apr 2018 14:05:19 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:15271 Wed 11 Apr 2018 13:32:09 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:16008 Wed 11 Apr 2018 13:03:16 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:11037 Wed 11 Apr 2018 12:41:23 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:20609 Wed 11 Apr 2018 11:53:23 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:11025 Wed 11 Apr 2018 11:40:20 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:29508 Wed 11 Apr 2018 11:38:11 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:9865 Wed 11 Apr 2018 10:52:58 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:11036 Wed 11 Apr 2018 10:33:40 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:27856 Wed 11 Apr 2018 10:16:18 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:11035 Wed 11 Apr 2018 10:02:15 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:11026 Wed 11 Apr 2018 09:58:32 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:26246 Wed 11 Apr 2018 09:42:51 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:9550 Wed 11 Apr 2018 09:38:16 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:11029 Wed 11 Apr 2018 09:32:07 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44594 Wed 09 Nov 2022 10:19:46 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:50151 Wed 05 Jul 2023 14:11:15 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:41433 Wed 03 Aug 2022 14:19:27 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46718 response speed and evidence quality, which result in different types of post-error changes. We explore these differences in types of errors and post-error changes in two recognition memory experiments with speed versus accuracy emphasis conditions that differentially produce response-speed and evidence-quality errors. Under conditions that give rise to more response-speed errors, we find evidence of traditional post-error slowing. Under conditions that give rise to evidence-quality errors, we find evidence of post-error speeding. We propose a broadening of theories of cognitive control to encompass maladaptive as well as adaptive strategies, and discuss implications for the use of post-error changes to measure cognitive control.]]> Tue 29 Nov 2022 11:06:26 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:32372 Tue 29 May 2018 11:07:01 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:32373 Psychological Review, 111, 159-182, 2004) frameworks, lexical-decisions are based on a continuous source of word-likeness evidence for both words and non-words. The Retrieving Effectively from Memory model of Lexical-Decision (REM-LD; Wagenmakers et al., Cognitive Psychology, 48(3), 332-367, 2004) provides a comprehensive explanation of lexical-decision data and makes the prediction that word-likeness evidence is more variable for words than non-words and that higher frequency words are more variable than lower frequency words. To test these predictions, we analyzed five lexical-decision data sets with the DDM. For all data sets, drift-rate variability changed across word frequency and non-word conditions. For the most part, REM-LD's predictions about the ordering of evidence variability across stimuli in the lexical-decision task were confirmed.]]> Tue 29 May 2018 11:06:59 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:31505 Tue 27 Mar 2018 18:00:32 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:34290 Tue 26 Feb 2019 12:17:03 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44967 Tue 25 Oct 2022 14:41:46 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:16911 Tue 24 Aug 2021 14:24:51 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:53296 Tue 21 Nov 2023 11:54:38 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:50234 Tue 19 Sep 2023 15:13:22 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44646 Tue 18 Oct 2022 18:32:45 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:47074 Tue 13 Dec 2022 16:21:23 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:51631 Tue 12 Sep 2023 20:07:36 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:50116 Tue 11 Jul 2023 15:54:22 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:51699 Tue 07 May 2024 15:19:05 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:51432 Tue 05 Sep 2023 17:57:19 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:34068 PLoS Computational Biology, 11, e1004316, 2015; Carlson, T. A., Ritchie, J. B., Kriegeskorte, N., Durvasula, S., & Ma, J. Reaction time for object categorization is predicted by representational distance. Journal of Cognitive Neuroscience, 26, 132–142, 2014]. Using MEG decoding, we tested if the same relationship holds when a stimulus manipulation (degradation) increases task difficulty, which we predicted would systematically decrease the distance of activation patterns from the decision boundary and increase RTs. In addition, we tested whether distance to the classifier boundary correlates with drift rates in the linear ballistic accumulator [Brown, S. D., & Heathcote, A. The simplest complete model of choice response time: Linear ballistic accumulation. Cognitive Psychology, 57, 153–178, 2008]. We found that distance to the classifier boundary correlated with RT, accuracy, and drift rates in an animacy categorization task. Split by animacy, the correlations between brain and behavior were sustained longer over the time course for animate than for inanimate stimuli. Interestingly, when examining the distance to the classifier boundary during the peak correlation between brain and behavior, we found that only degraded versions of animate, but not inanimate, objects had systematically shifted toward the classifier decision boundary as predicted. Our results support an asymmetry in the representation of animate and inanimate object categories in the human brain.]]> Tue 03 Sep 2019 18:27:13 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:36196 Tue 03 Mar 2020 09:45:32 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:34573 Thu 28 Mar 2019 11:45:08 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:36090 Thu 17 Mar 2022 14:39:03 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44454 Thu 13 Oct 2022 14:31:24 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:34683 Thu 11 Apr 2019 15:08:38 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:33238 Thu 03 Feb 2022 12:19:04 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:48495 Thu 01 Jun 2023 11:58:38 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:12076 Sat 24 Mar 2018 08:13:30 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:12075 Sat 24 Mar 2018 08:13:30 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:11034 Sat 24 Mar 2018 08:11:46 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:12303 Sat 24 Mar 2018 08:11:34 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:12029 Sat 24 Mar 2018 08:08:34 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:18051 Sat 24 Mar 2018 08:06:17 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:20843 Sat 24 Mar 2018 08:05:57 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:20086 Sat 24 Mar 2018 08:00:06 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:21814 Journal of Mathematical Psychology, 19, 137–181, 1979) is a graphical analysis that can determine whether one or more than one latent variable mediates an apparent dissociation between the effects of two experimental manipulations. State-trace analysis makes only ordinal assumptions and so, is not confounded by range effects that plague alternative methods, especially when performance is measured on a bounded scale (such as accuracy). We describe and illustrate the application of a freely available GUI driven package, StateTrace, for the R language. StateTrace automates many aspects of a state-trace analysis of accuracy and other binary response data, including customizable graphics and the efficient management of computationally intensive Bayesian methods for quantifying evidence about the outcomes of a state-trace experiment, developed by Prince, Brown, and Heathcote (Psychological Methods, 17, 78–99, 2012).]]> Sat 24 Mar 2018 07:58:40 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:20689 Sat 24 Mar 2018 07:55:39 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:16261 Sat 24 Mar 2018 07:54:14 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:25835 Sat 24 Mar 2018 07:34:42 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:26372 Sat 24 Mar 2018 07:33:06 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:29854 Sat 24 Mar 2018 07:32:48 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:30661 Sat 24 Mar 2018 07:29:38 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:26474 Sat 24 Mar 2018 07:27:14 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:28091 Sat 24 Mar 2018 07:24:54 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:28090 Sat 24 Mar 2018 07:24:54 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:30035 Sat 24 Mar 2018 07:24:20 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:26194 Sat 24 Mar 2018 07:24:09 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:23867 Sat 24 Mar 2018 07:13:38 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:23688 Sat 24 Mar 2018 07:13:27 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:24343 Sat 24 Mar 2018 07:10:18 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:32411 Mon 23 Sep 2019 14:02:23 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:32410 Mon 23 Sep 2019 12:12:49 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:52295 Mon 09 Oct 2023 10:11:36 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:41266 Mon 01 Aug 2022 09:28:31 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:18964 Fri 27 Sep 2019 14:45:01 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:47349 Fri 26 Apr 2024 10:29:27 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:42220 Fri 19 Aug 2022 11:28:25 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:51704 Fri 15 Sep 2023 13:56:01 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:33236 Fri 14 Sep 2018 16:33:16 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:16692 Fri 13 Jul 2018 15:45:49 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:16734 Fri 09 Sep 2016 11:58:02 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:51524 Fri 08 Sep 2023 12:12:08 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:18314 Fri 03 Dec 2021 09:50:08 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:53513 Fri 01 Dec 2023 10:58:58 AEDT ]]>