Journal article
Salience by Competitive and Recurrent Interactions: Bridging Neural Spiking and Computation in Visual Attention
GE Cox, TJ Palmeri, GD Logan, PL Smith, JD Schall
Psychological Review | AMER PSYCHOLOGICAL ASSOC | Published : 2022
DOI: 10.1037/rev0000366
Abstract
Decisions about where to move the eyes depend on neurons in frontal eye field (FEF). Movement neurons in FEF accumulate salience evidence derived from FEF visual neurons to select the location of a saccade target among distractors. How visual neurons achieve this salience representation is unknown.We present a neurocomputational model of target selection called salience by competitive and recurrent interactions (SCRI), based on the competitive interaction model of attentional selection and decision-making (Smith & Sewell, 2013). SCRI selects targets by synthesizing localization and identification information to yield a dynamically evolving representation of salience across the visual field. ..
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Grants
Awarded by National Eye Institute
Funding Acknowledgements
This work was supported by grants from the National Eye Institute of the United States of America (R01EY021833 to Thomas J. Palmeri, Gordon D. Logan, and Jeffrey D. Schall; R01-EY08890 and P30-EY08126 to Jeffrey D. Schall) and the Australian Research Council (Discovery Grant DP180101686 to Philip L. Smith). Jeffrey D. Schall was supported by Robin and Richard Patton through the E. Bronson IngramChair in Neuroscience. Wethank Kaleb Lowe and Simon Lilburn for many insightful discussions during the development of this work. Relevant data and code are freely available via the Open Science Framework (https://osf.io/wtch4/).