Summary: Our ability to act fast is based on estimates of whether and when specific events will occur that demand immediate attention.
Source: Max Planck Institute
Fast reactions to future events are crucial. A boxer, for example, needs to respond to her opponent in fractions of a second in order to anticipate and block the next attack. Such rapid responses are based on estimates of whether and when events will occur.
Now, scientists from the Max Planck Institute for Empirical Aesthetics (MPIEA) and New York University (NYU) have identified the cognitive computations underlying this complex predictive behavior.
How does the brain know when to pay attention? Every future event carries two distinct kinds of uncertainty: Whether it will happen within a given time span, and if so, when it will likely occur.
Until now, most research on temporal prediction has assumed that the probability of whether an event will occur has a stable effect on anticipation over time. However, this assumption has not been empirically proven. Furthermore, it is unknown how the human brain combines the probabilities of whether and when a future event will occur.
An international team of researchers from MPIEA and NYU has now investigated how these two different sources of uncertainty affect human anticipatory behavior. Using a simple but elegant experiment, they systematically manipulated the probabilities of whether and when sensory events will occur and analyzed human reaction time behavior.
In their recent article in the journal Proceedings of the National Academy of Sciences (PNAS), the team reports two novel results.
First, the probability of whether an event will occur has a highly dynamic effect on anticipation over time. Second, the brain’s estimations of whetherand when an event will occur take place independently.
“Our experiment taps into the basic ways we use probability in everyday life, for example when driving our car,” explains Matthias Grabenhorst of the Max Planck Institute for Empirical Aesthetics. “When approaching a railroad crossing, the probability of the gates closing determines our overall readiness to hit the brakes. This is intuitive and known.”
Georgios Michalareas, also MPIEA, adds: “We found, however, that this readiness to respond drastically increases over time. You become much more alert, although the probability of the gates closing objectively does not change.”
This dynamic effect of whether an event will occur is independent of when it will happen. The brain knows when to pay attention based on independent computations of these two probabilities.
The research team’s findings indicate that the human brain dynamically adjusts its readiness to respond based on separate probability estimates of whetherand whenevents occur.
The results of this study add significantly to our understanding of how the human brain predicts future events in order to interact accordingly with the environment.
About this neuroscience research news
NeuroscienceNews would like to thank Max Planck Institute’s Press Office for submitting this research for inclusion.
Source: Max Planck Institute
Contact: Keyvan Sarkhosh – Max Planck Institute
Image: The image is credited to Max Planck Institute for Empirical Aesthetics
Original Research: Closed access.
“Two sources of uncertainty independently modulate temporal expectancy” by Matthias Grabenhorst, Laurence T. Maloney, David Poeppel and Georgios Michalareas. PNAS
Abstract
Two sources of uncertainty independently modulate temporal expectancy
The environment is shaped by two sources of temporal uncertainty: the discrete probability of whether an event will occur and—if it does—the continuous probability of when it will happen. These two types of uncertainty are fundamental to every form of anticipatory behavior including learning, decision-making, and motor planning. It remains unknown how the brain models the two uncertainty parameters and how they interact in anticipation.
It is commonly assumed that the discrete probability of whether an event will occur has a fixed effect on event expectancy over time. In contrast, we first demonstrate that this pattern is highly dynamic and monotonically increases across time. Intriguingly, this behavior is independent of the continuous probability of when an event will occur.
The effect of this continuous probability on anticipation is commonly proposed to be driven by the hazard rate (HR) of events. We next show that the HR fails to account for behavior and propose a model of event expectancy based on the probability density function of events.
Our results hold for both vision and audition, suggesting independence of the representation of the two uncertainties from sensory input modality.
These findings enrich the understanding of fundamental anticipatory processes and have provocative implications for many aspects of behavior and its neural underpinnings.
