Abstract
Attention has been usefully thought of as organized in priority maps – putative maps of space where attentional priority is weighted across spatial regions in a winner-take-all competition for attentional deployment. Recent work has highlighted the influence of past experiences on the weighting of spatial priority – called selection history. Aside from being distinct from more well-studied, top-down forms of attentional enhancement, little is known about the neural substrates of history-mediated attentional priority. Using a task known to induce statistical learning of target distributions, in an EEG study we demonstrate that this otherwise invisible, latent attentional priority map can be visualized during the intertrial period using a ‘pinging’ technique in conjunction with multivariate pattern analyses. Our findings not only offer a method of visualizing the history-mediated attentional priority map, but also shed light on the underlying mechanisms allowing our past experiences to influence future behavior.
Original language | English |
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Article number | 4749 |
Pages (from-to) | 1-13 |
Number of pages | 13 |
Journal | Nature Communications |
Volume | 14 |
Early online date | 7 Aug 2023 |
DOIs | |
Publication status | Published - 2023 |
Bibliographical note
Funding Information:This research was supported by a European Research Council (ERC) advanced grant 833029 – [LEARNATTEND] awarded to J.T. The authors wish to thank Freek van Ede for his invaluable guidance in our density and towardness eye tracking analyses and Johannes Fahrenfort for his careful consideration of our decoding results and helpful advice. The authors would also like to thank Clayton Hickey for his expertize in identifying our need for a temporal correlation control analysis, and his time in helping us think up a control analysis.
Publisher Copyright:
© 2023, Springer Nature Limited.
Funding
This research was supported by a European Research Council (ERC) advanced grant 833029 – [LEARNATTEND] awarded to J.T. The authors wish to thank Freek van Ede for his invaluable guidance in our density and towardness eye tracking analyses and Johannes Fahrenfort for his careful consideration of our decoding results and helpful advice. The authors would also like to thank Clayton Hickey for his expertize in identifying our need for a temporal correlation control analysis, and his time in helping us think up a control analysis.
Funders | Funder number |
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European Research Council | 833029 |
European Research Council |