Previous experience is thought to facilitate our ability to extract spatial and temporal regularities from cluttered scenes. However, little is known about how we may use this knowledge to predict future events. Here we test whether exposure to temporal sequences facilitates the visual recognition of upcoming stimuli. We presented observers with a sequence of leftwards and rightwards oriented gratings that was interrupted by a test stimulus. Observers were asked to indicate whether the orientation of the test stimulus matched their expectation based on the preceding sequence. Our results demonstrate that exposure to temporal sequences without feedback facilitates our ability to predict an upcoming stimulus. In particular, observers' perform...
Perception is shaped not only by current sensory inputs but also by expectations generated from past...
The physics of the environment provide a rich spatiotemporal structure for our experience. Objects m...
In daily life, temporal expectations may derive from incidental learning of recurring patterns of in...
AbstractPrevious experience is thought to facilitate our ability to extract spatial and temporal reg...
Learning the structure of the environment is critical for interpreting the current scene and predict...
Human behavior is guided by our expectations about the future. Often, we make predictions by monit...
Abstract The ability to predict what is going to happen in the near future is integral for daily fun...
Being able to predict future events in learned sequences is a fundamental cognitive ability. Success...
Predicting the timing of upcoming events is crucial for both perception and action, as it has been s...
Although perception is typically constrained by limits in available processing resources, these cons...
It is increasingly clear that we extract patterns of temporal regularity between events to optimize ...
Performance improves when participants respond to events that are structured in repeating sequences,...
In dynamic environments, statistical learning of spatial and temporal regularities guides visual att...
When humans learn that the presence of a cue predicts the likelihood of an outcome, they can exploit...
Two experiments demonstrated that the prior predictive history of a cue governs the extent to which ...
Perception is shaped not only by current sensory inputs but also by expectations generated from past...
The physics of the environment provide a rich spatiotemporal structure for our experience. Objects m...
In daily life, temporal expectations may derive from incidental learning of recurring patterns of in...
AbstractPrevious experience is thought to facilitate our ability to extract spatial and temporal reg...
Learning the structure of the environment is critical for interpreting the current scene and predict...
Human behavior is guided by our expectations about the future. Often, we make predictions by monit...
Abstract The ability to predict what is going to happen in the near future is integral for daily fun...
Being able to predict future events in learned sequences is a fundamental cognitive ability. Success...
Predicting the timing of upcoming events is crucial for both perception and action, as it has been s...
Although perception is typically constrained by limits in available processing resources, these cons...
It is increasingly clear that we extract patterns of temporal regularity between events to optimize ...
Performance improves when participants respond to events that are structured in repeating sequences,...
In dynamic environments, statistical learning of spatial and temporal regularities guides visual att...
When humans learn that the presence of a cue predicts the likelihood of an outcome, they can exploit...
Two experiments demonstrated that the prior predictive history of a cue governs the extent to which ...
Perception is shaped not only by current sensory inputs but also by expectations generated from past...
The physics of the environment provide a rich spatiotemporal structure for our experience. Objects m...
In daily life, temporal expectations may derive from incidental learning of recurring patterns of in...