IMIan Grant Mackenzie

Ian Grant Mackenzie

*This is an algorithmically generated author record based on publicly available information.

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Previous Organizations / Institutes

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Ian Grant Mackenzie has a total of 16 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    EegFun.jl: A Julia Package Tutorial for EEG Analysis

    by Carolin Dudschig, Samuel Sonntag, Ian G. Mackenzie

    EegFun.jl is an open-source package for electroencephalography (EEG) analysis implemented in the Julia programming language. EegFun.jl provides a flexible framework for EEG research, covering data import from standard file formats, filtering and re-referencing, Independent Component Analysis (ICA) for artifact detection/correction, epoch extraction, and ERP averaging and visualisation. The Julia language provides the readability of a high-level scripting environment together with execution speeds comparable to compiled code. EegFun.jl combines interactive data visualization with high-performance execution, making large-scale analyses both efficient and easy. Here, we provide a brief overview and introductory tutorial of the core stages of the EEG analysis workflow to illustrate the package’s capabilities. The package is freely available under the MIT license.

  • Open Access

    Ten years Diffusion Model for Conflict (DMC) tasks: Theoretical foundations, applications, practical recommendations, and open challenges

    by Markus Janczyk, Ian G. Mackenzie, Rolf Ulrich, Valentin Koob

    A central question in cognitive psychology concerns how humans selectively attend to task-relevant information while ignoring task-irrelevant information. This question is frequently studied using conflict tasks, such as the Simon, Eriksen flanker, and Stroop tasks that require responses to relevant stimulus features while ignoring irrelevant and potentially conflicting features. All conflict tasks produce better performance in congruent trials where task-relevant features and irrelevant features match compared with when they mismatch in incongruent trials: the congruency effect. However, they differ markedly in the temporal dynamics of this congruency effect and accordingly in their RT distributions. The Diffusion Model for Conflict tasks (DMC) was introduced as a model to formally account for all distributional patterns in conflict tasks. It integrates dual-route theories of cognitive control into the framework of sequential sampling models by positing two superimposed, independent evidence accumulation processes: a linear one for controlled processing of the task-relevant information, and a pulse-like one for automatic processing of the task-irrelevant information, in which activation first increases until a maximum and then decreases again. This review summarizes DMC’s architecture, its core parameters, and its ability to account for various distributional patterns. We review and discuss applications of DMC across several psychological domains, and technical considerations such as parameter estimation and recovery. Limitations of the model are critically assessed, and fields of open research are outlined. Overall, DMC offers a general account of conflict processing. While a powerful tool for quantifying the dynamics of selective attention and cognitive control, there is still a limited standardization in its application, and more research is needed to extend DMC to other classes of conflict tasks.


  • Open Access

    A comment on the Revised Diffusion Model for Conflict tasks (RDMC)

    by Markus Janczyk, Ian Grant Mackenzie, Valentin Koob

    In conflict tasks, such as the Simon, Eriksen flanker, or Stroop task, a relevant and an irrelevant feature indicate the same or different responses in congruent and incongruent trials, respectively. The congruency effect refers to faster and less error-prone responses in congruent relative to incongruent trials. Distributional analyses reveal that the congruency effect in the Simon task becomes smaller with increasing RTs, reflected by a negative-going delta function. In contrast, for other tasks, the delta function is typically positive-going, meaning that congruency effects become larger with increasing RTs. The Diffusion Model for Conflict tasks (DMC; Ulrich et al., Cognitive Psychology, 78, 148–174, 2015) accounts for this by explicitly modeling the information accumulated from the relevant and the irrelevant features and attributes negatively- versus positively-sloped delta functions to different peak times of a pulse-like activation resulting from the task-irrelevant feature. Because the underlying function implies negative drift rates, Lee and Sewell (Psychonomic Bulletin & Review, 31(5), 1–31, 2024) recently questioned this assumption and suggested their Revised Diffusion Model for Conflict tasks (RDMC). We address three issues regarding RDMC compared to DMC: (1) The pulse-like function is not as implausible as Lee and Sewell suggest. (2) RDMC itself comes with a questionable assumption that different parameters are required for congruent and incongruent trials. (3) Moreover, we present data from a new parameter recovery study, suggesting that RDMC lacks acceptable recovery of several parameters (in particular compared to DMC). In this light, we discuss RDMC as not (yet) a revised version of DMC.


  • Open Access

    A Diffusion Model Analysis of Object-Based Selective Attention in the Eriksen Flanker Task

    by Paul Kelber, Martina Gierlich, Jonathan Göth, Martin Georg Jeschke, Ian Grant Mackenzie, Victor Mittelstädt

    Selective attention might be space-, feature-, and/or object-based. Clear support for the involvement of an object-based mechanism is rather scarce, possibly because the predictions of models from these different classes often overlap. Yet, only object-based models can account for a larger congruency effect (CE) in the Eriksen flanker task when flankers are more (vs. less) strongly grouped to the target, but spacing and other response-irrelevant features of target and flankers are held constant. Exactly this was observed by Kramer and Jacobson (1991) . So far, this theoretically relevant finding has not been replicated closely. We replicated the finding in two web-based experiments. Specifically, CEs were larger when flanker lines were connected to the central target line (vs. to outer neutral lines). We also successfully fitted the Diffusion Model for Conflict tasks (DMC) to the experimental data. Critically, diffusion modeling (DMC) and distributional analyses (delta functions) revealed that object membership primarily affected target processing strength rather than strength or timing of flanker processing. This challenges the prominent attentional spreading (sensory enhancement) account of object-based selective attention and motivates an alternative target attenuation account.


  • Open Access

    The Role of Effector-Specific Task Representations in Voluntary Task Switching

    by Victor Mittelstädt, Hartmut Leuthold, Ian Grant Mackenzie, Tobin Dykstra, Eliot Hazeltine

    There has been an increasing interest in uncovering the mechanisms underpinning how people decide which task to perform at a given time. Many studies suggest that task representations are crucial in guiding such voluntary task selection behavior, which is primarily reflected in a bias to select task repetitions over task switches. However, it is not yet clear whether the task-specific motor effectors are also a crucial component of task representations when deciding to switch tasks. Across three experiments using different voluntary task switching (VTS) procedures, we show that a greater overlap in task representations with a task-to-finger mapping than task-to-hand mapping increases participants' switching behavior (Exp. 1 and Exp. 2), but not when they were instructed to randomly select tasks (Exp. 3). Thus, task-specific stimulus-response associations can change the way people mentally represent tasks and influence switching behavior, suggesting that motor effectors should be considered as a component of task representations in biasing cognitive flexibility.


  • Evidence of resource sharing in the psychological refractory period (PRP) paradigm.

    by Victor Mittelstädt, Ian Grant Mackenzie, Jeff Miller

    Performance is generally worse when performing multiple tasks than when performing a single task, but there is debate about whether this multitasking interference arises due to a structural bottleneck that requires serial central processing or due to resource limitations that slow processing of 2 tasks when they are carried out in parallel. The present study used a novel approach of comparing first- and second-task reaction times (RTs) within the psychological refractory period (PRP) paradigm to contrast these 2 possibilities. Counterbalancing task order across participants to control for differences in task difficulty, we found that second-task responses were faster than first-task responses at long stimulus onset asynchronies (SOAs). This second-task advantage is difficult to explain within bottleneck models, which allow the first task to be processed at full speed while the second task waits for access to the bottleneck process. Instead, the effect suggests that processing of the first task is slowed because some cognitive resources are held back in case they are needed for second-task processing. At long SOAs, all resources can be allocated to second-task processing because the first task is already completed. Thus, we propose that cognitive control processes flexibly coordinating the sharing of limited central resources may better explain dual-task performance in the PRP paradigm than bottleneck-based waiting due to structural limitations. (PsycInfo Database Record (c) 2022 APA, all rights reserved).


  • The role of temporal order of relevant and irrelevant dimensions within conflict tasks.

    by Ian G. Mackenzie, Victor Mittelstädt, Rolf Ulrich, Hartmut Leuthold

    Conflict tasks are commonly used to investigate control processes under situations of relevant and irrelevant sources of information. In addition to compatibility effects at a mean behavioral level, delta plot analyses of reaction time distributions reveal that the compatibility effect generally increases with time (i.e., positive delta plot slopes) across most conflict-like tasks. Critically, the underlying causes of the increasing delta plot slopes with different types of distractors are still poorly understood. The present study tested whether the relative onset of target-to-distractor processing affects the delta plot slope. Specifically, we manipulated the temporal order of relevant and irrelevant dimensions within an Eriksen flanker task (Experiment [Exp.] 1), an Arrow-Simon task (Exp. 2), and a manual Stroop task (Exp. 3a/3b). The results of the Eriksen flanker task and Arrow-Simon task revealed that the delta plots slopes were less increasing (and instead rather decreasing) when the irrelevant dimension appears first (IR condition) compared to the reversed order (RI condition)-consistent with the idea that the underlying mechanism driving the slope of the delta plot is the temporal overlap of activation between the relevant and irrelevant dimensions. In contrast, for the Stroop task, the delta plots in the RI condition were not more increasing than the ones for the IR condition. Overall, these results suggest that the temporal properties strongly influence delta plot shape, but that the temporal dynamics operating in the flanker task and the Arrow-Simon task differs from the Stroop task, at least under conditions where relevant and irrelevant information is presented sequentially. (PsycInfo Database Record (c) 2022 APA, all rights reserved).