Sign in
NeuroscienceJournal of Neuroscience
Peer-reviewed journal article

Attention rhythmically shapes sensory tuning

Laurie GalasiD, Ian DonovaniD, Laura DuguéiD

Abstract

Attention is key to perception and human behavior, and evidence shows that it periodically samples sensory information (<20Hz). However, this view has been recently challenged due to methodological concerns and gaps in our understanding of the function and mechanism of rhythmic attention. Here we used an intensive [~]22-hour psychophysical protocol combined with reverse correlation analyses to infer the neural representation underlying these rhythms. Participants performed a task in which covert spatial (sustained and exploratory) attention was manipulated, and then probed at various delays. Our results show that sustained and exploratory attention periodically modulate perception via different neural computations. While sustained attention suppresses distracting stimulus features at the alpha ([~]12Hz) frequency, exploratory attention increases the gain around task-relevant stimulus feature at the theta ([~]6Hz) frequency. These findings reveal that both modes of rhythmic attention differentially shape sensory tuning, expanding the current understanding of the rhythmic sampling theory of attention. Significance statementFor the past decade, low-frequency rhythms were described in attentional performance. Here, we go beyond description and assess the underlying neural computations in the sensory system. We used an intensive psychophysical protocol combined with reverse correlation analysis to infer the systems sensitivity to and selectivity for stimulus feature (orientation) across time, and for two attention modes, i.e., sustained and exploratory attention. Our results show that signal enhancement as well as suppression occurred rhythmically, depending on the attentional state, leading to enhanced and improved performance phases - sustained and exploratory attention modes differentially shape the sensory tuning to stimulus feature.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
8
FWCI
4.54
Field percentile
top 5%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISZalta '20Michel '21Gupta '24Redding '26Kasten '24Kawashima '22
81% semantic matchNeuroscience
Arnaud Zalta, Spase Petkoski, Benjamin Morillon·Nature Communications·Feb 26, 2020· 123 citations