Attention to visual motion suppresses neuronal and behavioral sensitivity in nearby feature space
Abstract
Feature-based attention prioritizes the processing of the attended feature while strongly suppressing the processing of nearby ones. This creates a non-linearity or “attentional suppressive surround” predicted by the Selective Tuning model of visual attention. However, previously reported effects of feature-based attention on neuronal responses are linear, e.g., feature-similarity gain. Here, we investigated this apparent contradiction by neurophysiological and psychophysical approaches.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 05, 2022
- Source ID
- 10.1186/s12915-022-01428-7
Entities
People
- John Tsotsos
- Julio C. Martinez-trujillo
- Mazyar Fallah
- Sang-Ah Yoo
- Stefan Treue
Organizations
- Air Force Office of Scientific Research
- Canada Research Chair
- Canadian Institutes of Health Research
- Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
- German Primate Centre
- German Research Foundation
- Western University