FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2790409408> ?p ?o ?g. }

• W2790409408 abstract "Abstract Learning the statistical structure of the environment is crucial for adaptive behavior. Humans and non-human decision-makers seem to track such structure through a process of probabilistic inference, which enables predictions about behaviorally relevant events. Deviations from such predictions cause surprise, which in turn helps improve inference. Surprise about the timing of behaviorally relevant sensory events drives phasic responses of neuromodulatory brainstem systems, which project to the cerebral cortex. Here, we developed a computational model-based magnetoencephalography (MEG) approach for mapping the resulting cortical transients across space, time, and frequency, in the human brain (N=28, 17 female). We used a Bayesian ideal observer model to learn the statistics of the timing of changes in a simple visual detection task. This model yielded quantitative trial-by-trial estimates of temporal surprise. The model-based surprise variable predicted trial-by trial variations in reaction time more strongly than the externally observable interval timings alone. Trial-by-trial variations in surprise were negatively correlated with the power of cortical population activity measured with MEG. This surprise-related power suppression occurred transiently around the behavioral response, specifically in the beta frequency band. It peaked in parietal and prefrontal cortices, remote from the motor cortical suppression of beta power related to overt report (button press) of change detection. Our results indicate that surprise about sensory event timing transiently suppresses ongoing beta-band oscillations in association cortex. This transient suppression of frontal beta-band oscillations might reflect an active reset triggered by surprise, and is in line with the idea that beta-oscillations help maintain cognitive sets. Significance statement The brain continuously tracks the statistical structure of the environment to anticipate behaviorally relevant events. Deviations from such predictions cause surprise, which in turn drives neural activity in subcortical brain regions that project to the cerebral cortex. We used magnetoencephalography in humans to map out surprise-related modulations of cortical population activity across space, time, and frequency. Surprise was elicited by variable timing of visual stimulus changes requiring a behavioral response. Surprise was quantified by means of an ideal observer model. Surprise predicted behavior as well as a transient suppression of beta frequency band oscillations in frontal cortical regions. Our results are in line with conceptual accounts that have linked neural oscillations in the beta-band to the maintenance of cognitive sets." @default.
• W2790409408 created "2018-03-29" @default.
• W2790409408 creator A5006395831 @default.
• W2790409408 creator A5030329404 @default.
• W2790409408 creator A5062951163 @default.
• W2790409408 creator A5063079579 @default.
• W2790409408 creator A5084092865 @default.
• W2790409408 date "2018-02-01" @default.
• W2790409408 modified "2023-10-16" @default.
• W2790409408 title "Surprise About Sensory Event Timing Drives Cortical Transients in the Beta Frequency Band" @default.
• W2790409408 cites W1974554864 @default.
• W2790409408 cites W1980451075 @default.
• W2790409408 cites W1991396817 @default.
• W2790409408 cites W2008497075 @default.
• W2790409408 cites W2009104998 @default.
• W2790409408 cites W2009759039 @default.
• W2790409408 cites W2013290816 @default.
• W2790409408 cites W2017711943 @default.
• W2790409408 cites W2019310225 @default.
• W2790409408 cites W2028947841 @default.
• W2790409408 cites W2033707011 @default.
• W2790409408 cites W2044179284 @default.
• W2790409408 cites W2046845727 @default.
• W2790409408 cites W2050741203 @default.
• W2790409408 cites W2094850439 @default.
• W2790409408 cites W2099119340 @default.
• W2790409408 cites W2100733433 @default.
• W2790409408 cites W2111968444 @default.
• W2790409408 cites W2115095583 @default.
• W2790409408 cites W2120078534 @default.
• W2790409408 cites W2122686681 @default.
• W2790409408 cites W2123633125 @default.
• W2790409408 cites W2124447844 @default.
• W2790409408 cites W2128211763 @default.
• W2790409408 cites W2133396690 @default.
• W2790409408 cites W2133947591 @default.
• W2790409408 cites W2135194391 @default.
• W2790409408 cites W2135894974 @default.
• W2790409408 cites W2153370851 @default.
• W2790409408 cites W2153862310 @default.
• W2790409408 cites W2154562678 @default.
• W2790409408 cites W2157308590 @default.
• W2790409408 cites W2158196600 @default.
• W2790409408 cites W2158866673 @default.
• W2790409408 cites W2159922488 @default.
• W2790409408 cites W2161093157 @default.
• W2790409408 cites W2163456594 @default.
• W2790409408 cites W2163954543 @default.
• W2790409408 cites W2166073443 @default.
• W2790409408 cites W2169134378 @default.
• W2790409408 cites W2174176321 @default.
• W2790409408 cites W2210396547 @default.
• W2790409408 cites W2342539172 @default.
• W2790409408 cites W2557396276 @default.
• W2790409408 cites W2604427212 @default.
• W2790409408 cites W2612033333 @default.
• W2790409408 cites W2782060673 @default.
• W2790409408 cites W4214717370 @default.
• W2790409408 cites W4231324690 @default.
• W2790409408 cites W580437509 @default.
• W2790409408 cites W2151571191 @default.
• W2790409408 doi "https://doi.org/10.1101/254060" @default.
• W2790409408 hasPublicationYear "2018" @default.
• W2790409408 type Work @default.
• W2790409408 sameAs 2790409408 @default.
• W2790409408 citedByCount "1" @default.
• W2790409408 countsByYear W27904094082022 @default.
• W2790409408 crossrefType "posted-content" @default.
• W2790409408 hasAuthorship W2790409408A5006395831 @default.
• W2790409408 hasAuthorship W2790409408A5030329404 @default.
• W2790409408 hasAuthorship W2790409408A5062951163 @default.
• W2790409408 hasAuthorship W2790409408A5063079579 @default.
• W2790409408 hasAuthorship W2790409408A5084092865 @default.
• W2790409408 hasBestOaLocation W27904094081 @default.
• W2790409408 hasConcept C15744967 @default.
• W2790409408 hasConcept C169760540 @default.
• W2790409408 hasConcept C2780343955 @default.
• W2790409408 hasConcept C2908647359 @default.
• W2790409408 hasConcept C46312422 @default.
• W2790409408 hasConcept C522805319 @default.
• W2790409408 hasConcept C556910895 @default.
• W2790409408 hasConcept C71924100 @default.
• W2790409408 hasConcept C99454951 @default.
• W2790409408 hasConceptScore W2790409408C15744967 @default.
• W2790409408 hasConceptScore W2790409408C169760540 @default.
• W2790409408 hasConceptScore W2790409408C2780343955 @default.
• W2790409408 hasConceptScore W2790409408C2908647359 @default.
• W2790409408 hasConceptScore W2790409408C46312422 @default.
• W2790409408 hasConceptScore W2790409408C522805319 @default.
• W2790409408 hasConceptScore W2790409408C556910895 @default.
• W2790409408 hasConceptScore W2790409408C71924100 @default.
• W2790409408 hasConceptScore W2790409408C99454951 @default.
• W2790409408 hasLocation W27904094081 @default.
• W2790409408 hasLocation W27904094082 @default.
• W2790409408 hasLocation W27904094083 @default.
• W2790409408 hasLocation W27904094084 @default.
• W2790409408 hasOpenAccess W2790409408 @default.
• W2790409408 hasPrimaryLocation W27904094081 @default.
• W2790409408 hasRelatedWork W200090396 @default.
• W2790409408 hasRelatedWork W2020928796 @default.

• next