Dissociable signatures of visual salience and behavioral relevance across attentional priority maps in human cortex

บทความในวารสาร


ผู้เขียน/บรรณาธิการ


กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง


รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่งSprague T.C., Itthipuripat S., Vo V.A., Serences J.T.

ผู้เผยแพร่American Physiological Society

ปีที่เผยแพร่ (ค.ศ.)2018

วารสารJournal of Neurophysiology (0022-3077)

Volume number119

Issue number6

หน้าแรก2153

หน้าสุดท้าย2165

จำนวนหน้า13

นอก0022-3077

eISSN1522-1598

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85048013980&doi=10.1152%2fjn.00059.2018&partnerID=40&md5=4e168325b2f9c051a040e9259c96a1fe

ภาษาEnglish-Great Britain (EN-GB)


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บทคัดย่อ

Computational models posit that visual attention is guided by activity within spatial maps that index the image-computable salience and the behavioral relevance of objects in the scene. These spatial maps are theorized to be instantiated as activation patterns across a series of retinotopic visual regions in occipital, parietal, and frontal cortex. Whereas previous research has identified sensitivity to either the behavioral relevance or the image-computable salience of different scene elements, the simultaneous influence of these factors on neural “attentional priority maps” in human cortex is not well understood. We tested the hypothesis that visual salience and behavioral relevance independently impact the activation profile across retinotopically organized cortical regions by quantifying attentional priority maps measured in human brains using functional MRI while participants attended one of two differentially salient stimuli. We found that the topography of activation in priority maps, as reflected in the modulation of region-level patterns of population activity, independently indexed the physical salience and behavioral relevance of each scene element. Moreover, salience strongly impacted activation patterns in early visual areas, whereas later visual areas were dominated by relevance. This suggests that prioritizing spatial locations relies on distributed neural codes containing graded representations of salience and relevance across the visual hierarchy. NEW & NOTEWORTHY We tested a theory which supposes that neural systems represent scene elements according to both their salience and their relevance in a series of “priority maps” by measuring functional MRI activation patterns across human brains and reconstructing spatial maps of the visual scene. We found that different regions indexed either the salience or the relevance of scene items, but not their interaction, suggesting an evolving representation of salience and relevance across different visual areas. © 2018 the American Physiological Society. All rights reserved.


คำสำคัญ

Computational neuroimagingInverted encoding modelPriority mapVisual spatial attention


อัพเดทล่าสุด 2023-25-09 ถึง 07:35