The human cognitive system has various functions to enhance performance in tasks requiring responses to stimuli. When potentially occurring stimuli are known, we can establish selective attention sets and ignore task-irrelevant events while attending task-relevant ones. When the stimulation is temporally structured, we can rely on constant temporal relationships between stimulus events to prepare for the task-relevant moments. Most distraction paradigms feature task-irrelevant events which are followed by task-relevant ones within a constant interval, and distraction is induced by randomly replacing some of the standard task-irrelevant events. The constant time interval transforms irrelevant events to task-supportive temporal cues, which ar...
Anticipatory states help prioritise relevant perceptual targets over competing distractor stimuli an...
Temporal orienting improves sensory processing, akin to other top–down biases. However, it is unknow...
Predictive coding models of attention propose that attention and prediction operate synergistically ...
Distraction of goal-oriented performance by a sudden change in the auditory environment is an everyd...
Temporal regularity allows predicting the temporal locus of future information thereby potentially f...
Attentional models of time perception assume that the perceived duration of a stimulus depends on th...
In everyday situations auditory selective attention requires listeners to suppress task-irrelevant s...
The auditory world is often cacophonous, with some sounds capturing attention and distracting us fro...
When the interval between a warning signal (WS) and an imperative signal (IS), termed the foreperiod...
Distractions are often viewed as a negative occurrence in the study of human factors. Nonetheless, t...
Temporal structure in the environment often has predictive value for anticipating the occurrence of ...
Two experiments critically examined a predictive-coding based account of the vulnerability of short-...
In natural environments, sensory information is embedded in temporally contiguous streams of events....
We are often aware of the content of distracting sound, although typically remain unaware of the pro...
The cochlea decomposes sounds into separate frequency channels, from which the auditory brain must r...
Anticipatory states help prioritise relevant perceptual targets over competing distractor stimuli an...
Temporal orienting improves sensory processing, akin to other top–down biases. However, it is unknow...
Predictive coding models of attention propose that attention and prediction operate synergistically ...
Distraction of goal-oriented performance by a sudden change in the auditory environment is an everyd...
Temporal regularity allows predicting the temporal locus of future information thereby potentially f...
Attentional models of time perception assume that the perceived duration of a stimulus depends on th...
In everyday situations auditory selective attention requires listeners to suppress task-irrelevant s...
The auditory world is often cacophonous, with some sounds capturing attention and distracting us fro...
When the interval between a warning signal (WS) and an imperative signal (IS), termed the foreperiod...
Distractions are often viewed as a negative occurrence in the study of human factors. Nonetheless, t...
Temporal structure in the environment often has predictive value for anticipating the occurrence of ...
Two experiments critically examined a predictive-coding based account of the vulnerability of short-...
In natural environments, sensory information is embedded in temporally contiguous streams of events....
We are often aware of the content of distracting sound, although typically remain unaware of the pro...
The cochlea decomposes sounds into separate frequency channels, from which the auditory brain must r...
Anticipatory states help prioritise relevant perceptual targets over competing distractor stimuli an...
Temporal orienting improves sensory processing, akin to other top–down biases. However, it is unknow...
Predictive coding models of attention propose that attention and prediction operate synergistically ...