Distractor probabilities modulate flanker task performance

Defining attention from an auditory perspective

Attention prioritizes certain information at the expense of other information in ways that are similar across vision, audition, and other sensory modalities. It influences how-and even what-information is represented and processed, affecting brain activity at every level. Much of the core research into cognitive and neural mechanisms of attention has used visual tasks. However, the same top-down, object-based, and bottom-up attentional processes shape auditory perception, largely through the same underlying, cognitive networks. This article is categorized under: Psychology > Attention.

Automatic effects of instructions: a tale of two paradigms

When examining rapid instructed task learning behaviorally, one out of two paradigms is usually used, the Inducer-Diagnostic (I-D) and the NEXT paradigm. Even though both paradigms are supposed to examine the same phenomenon of Automatic Effect of Instructions (AEI), there are some meaningful differences between them, notably in the size of the AEI. In the current work, we examined, in two pre-registered studies, the potential reasons for these differences in AEI size. Study 1 examined the influence of the data-analytic approach by comparing two existing relatively large data-sets, one from each paradigm (Braem et al., in Mem Cogn 47:1582–1591, 2019; Meiran et al., in Neuropsychologia 90:180–189, 2016). Study 2 focused on the influence of instruction type (concrete, as in NEXT, and abstract, as in I-D) and choice complexity of the task in which AEI-interference is assessed. We did that while using variants of the NEXT paradigm, some with modifications that approximated it to the I-D paradigm. Results from Study 1 indicate that the data-analytic approach partially explains the differences between the paradigms in terms of AEI size. Still, the paradigms remained different with respect to individual differences and with respect to AEI size in the first step following the instructions. Results from Study 2 indicate that Instruction type and the choice complexity in the phase in which AEI is assessed do not influence AEI size, or at least not in the expected direction. Theoretical and study-design implications are discussed.

Suppression of Unattended Features Is Independent of Task Relevance

Feature-based attention serves the separation of relevant from irrelevant features. While global amplification of attended features is coherently described as a key mechanism for feature-based attention, nature and constituting factors of neural suppressive interactions are far less clear. One aspect of global amplification is its flexible modulation by the task relevance of the to-be-attended stimulus. We examined whether suppression is similarly modulated by their respective task relevance or is mandatory for all unattended features. For this purpose, participants saw a display of randomly moving dots with 3 distinct colors and were asked to report brief events of coherent motion for a cued color. Of the 2 unattended colored clouds, one contained distracting motion events while the other was irrelevant and without such motion events throughout the experiment. We used electroencephalography-derived steady-state visual-evoked potentials to investigate early visual processing of the attended, unattended, and irrelevant color under sustained feature-based attention. The analysis revealed a biphasic process with an early amplification of the to-be-attended color followed by suppression of the to-be-ignored color relative to a pre-cue baseline. Importantly, the neural dynamics for the unattended and always irrelevant color were comparable. Suppression is thus a mandatory mechanism affecting all unattended stimuli irrespective of their task relevance.