Literature DB >> 35091506

The Spatiotemporal Link of Temporal Expectations: Contextual Temporal Expectation Is Independent of Spatial Attention.

Noam Tal-Perry1, Shlomit Yuval-Greenberg2,3.   

Abstract

Temporal expectation is the ability to construct predictions regarding the timing of events, based on previously experienced temporal regularities of different types. For example, cue-based expectations are constructed when a cue validly indicates when a target is expected to occur. However, in the absence of such cues, expectations can be constructed based on contextual temporal information, including the onset distribution of the event and recent prior experiences, both providing implicit probabilistic information regarding the timing of the event. It was previously suggested that cue-based temporal expectation is exerted via synchronization of spatially specific neural activity at a predictable time of a target, within receptive fields corresponding to the expected location of the target. Here, we tested whether the same theoretical model holds for contextual temporal effects. Participants (n = 40, 25 females) performed a speeded spatial-cuing detection task with two-thirds valid spatial cues. The hazard-rate function of the target was modulated by varying the foreperiod-the interval between the spatial cue and the target-among trials and was manipulated between groups by changing the interval distribution. Reaction times were analyzed using both frequentist and Bayesian generalized linear mixed models, accounting for hazard and sequential effects. Results showed that the effects of contextual temporal structures on reaction times were independent of spatial attention. This suggests that the spatiotemporal mechanisms, thought to account for cue-based expectation, cannot explain other sources of temporal expectations. We conclude that expectations based on contextual structures have different characteristics than cue-based temporal expectation, suggesting reliance on distinct neural mechanisms.SIGNIFICANCE STATEMENT Temporal expectation is the ability to predict an event onset based on temporal regularities. A neurophysiological model suggested that temporal expectation relies on the synchronization of spatially specific neurons whose receptive fields represent the attended location. This model predicts that temporal expectation would be evident solely within the locus of spatial attention. Existing evidence supported this model for expectation based on associations between a temporal cue and a target, but here we show that it cannot account for temporal expectation that is based on contextual information, that is, the distribution of intervals and recent priors. These findings reveal the existence of different predictive mechanisms for cued and contextual temporal predictions, with the former depending on spatial attention and the latter nonspatially specific.
Copyright © 2022 the authors.

Entities:  

Keywords:  FP-RT slope; hazard-rate function; reaction time; sequential effect; temporal attention; variable foreperiod effect

Mesh:

Year:  2022        PMID: 35091506      PMCID: PMC8944225          DOI: 10.1523/JNEUROSCI.1555-21.2022

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  42 in total

1.  Arousal modulates temporal preparation under increased time uncertainty: Evidence from higher-order sequential foreperiod effects.

Authors:  Michael B Steinborn; Robert Langner
Journal:  Acta Psychol (Amst)       Date:  2011-11-14

2.  The warning stimulus as retrieval cue: The role of associative memory in temporal preparation.

Authors:  Sander A Los; Jurre Nieuwenstein; Anass Bouharab; David J Stephens; Martijn Meeter; Wouter Kruijne
Journal:  Cogn Psychol       Date:  2021-01-29       Impact factor: 3.468

3.  Oculomotor inhibition reflects temporal expectations.

Authors:  Roy Amit; Dekel Abeles; Marisa Carrasco; Shlomit Yuval-Greenberg
Journal:  Neuroimage       Date:  2018-09-14       Impact factor: 6.556

4.  Combining spatial and temporal expectations to improve visual perception.

Authors:  Gustavo Rohenkohl; Ian C Gould; Jéssica Pessoa; Anna C Nobre
Journal:  J Vis       Date:  2014-04-10       Impact factor: 2.240

5.  Toward the influence of temporal attention on the selection of targets in a visual search task: An ERP study.

Authors:  Bettina Rolke; Freya Festl; Verena C Seibold
Journal:  Psychophysiology       Date:  2016-08-01       Impact factor: 4.016

6.  Feature-Based Attention and Feature-Based Expectation.

Authors:  Christopher Summerfield; Tobias Egner
Journal:  Trends Cogn Sci       Date:  2016-04-12       Impact factor: 20.229

7.  A tutorial on bridge sampling.

Authors:  Quentin F Gronau; Alexandra Sarafoglou; Dora Matzke; Alexander Ly; Udo Boehm; Maarten Marsman; David S Leslie; Jonathan J Forster; Eric-Jan Wagenmakers; Helen Steingroever
Journal:  J Math Psychol       Date:  2017-12       Impact factor: 2.223

8.  Purpose-Dependent Consequences of Temporal Expectations Serving Perception and Action.

Authors:  Freek van Ede; Gustavo Rohenkohl; Ian Gould; Anna C Nobre
Journal:  J Neurosci       Date:  2020-09-08       Impact factor: 6.167

9.  The anticipation of events in time.

Authors:  Matthias Grabenhorst; Georgios Michalareas; Laurence T Maloney; David Poeppel
Journal:  Nat Commun       Date:  2019-12-20       Impact factor: 14.919

10.  A dynamic normalization model of temporal attention.

Authors:  Rachel N Denison; Marisa Carrasco; David J Heeger
Journal:  Nat Hum Behav       Date:  2021-06-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.