Priority maps are winner-take-all neural mechanisms thought to guide the allocation of covert and overt attention. Here, we go beyond this standard definition and argue that priority maps play a much broader role in controlling goal-directed behavior. We start by defining what priority maps are and where they might be found in the brain; we then ask why they exist-the function that they serve. We propose that this function is to communicate a goal state to the different effector systems, thereby guiding behavior. Within this framework, we speculate on how priority maps interact with visual working memory and introduce our common source hypothesis, the suggestion that this goal state is maintained in visual working memory and used to construct all of the priority maps controlling the various motor systems. Finally, we look ahead and suggest questions about priority maps that should be asked next.
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http://dx.doi.org/10.1111/nyas.12606 | DOI Listing |
J Educ Perioper Med
January 2025
James Harvey Jones is an Assistant Clinical Professor in the Department of Anesthesiology at University of North Carolina in Chapel Hill, NC. Neal Fleming is a Professor of Clinical Anesthesiology in the Department of Anesthesiology and Pain Medicine at University of California Davis Medical Center in Sacramento, CA.
Background: Expanding the physician workforce in underserved areas is imperative for addressing healthcare disparities. The creation of new residency training programs has assisted in these efforts. However, anesthesiology training programs are infrequently studied in this regard.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Science and Technology - Food and Nutrition Research Institute, Taguig, Metro Manila, Philippines.
This study aimed to assess the environmental variables affecting the Body Mass Index of older adults at neighborhood levels (1 ha) while mapping probability distributions of normal, overweight-obese, and underweight older adults. We applied a data-driven method that integrates open-access remote sensing products and geospatial data, along with the first nutritional survey in the Philippines with geo-locations conducted in 2021. We used ensemble machine learning of different presence-only and presence-absence models, all subjected to hyperparameter tuning and variable decorrelation.
View Article and Find Full Text PDFPlants (Basel)
December 2024
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Accurate crop density estimation is critical for effective agricultural resource management, yet existing methods face challenges due to data acquisition difficulties and low model usability caused by inconsistencies between optical and radar imagery. This study presents a novel approach to maize density estimation by integrating optical and radar data, addressing these challenges with a unique mapping strategy. The strategy combines available data selection, key feature extraction, and optimization to improve accuracy across diverse growth stages.
View Article and Find Full Text PDFJ Vis
January 2025
Department of Cognitive Sciences and Neurobiology and Behavior, University of California, Irvine, California, USA.
A salience map is a topographic map that has inputs at each x,y location from many different feature maps and summarizes the combined salience of all those inputs as a real number, salience, which is represented in the map. Of the more than 1 million Google references to salience maps, nearly all use the map for computing the relative priority of visual image components for subsequent processing. We observe that salience processing is an instance of substance-invariant processing, analogous to household measuring cups, weight scales, and measuring tapes, all of which make single-number substance-invariant measurements.
View Article and Find Full Text PDFEnviron Manage
December 2024
Departamento de Ciencias de la Vida - UD Ecología, Edificio de Ciencias, Universidad de Alcalá, E-28805, Alcalá de Henares, Spain.
Deforestation and forest degradation are key drivers of biodiversity loss and global environmental change. Ecosystem restoration is recognized as a global priority to counter these processes. Forest restoration efforts have commonly adopted a predominantly ecological approach, without including broader socioeconomic variables and the characteristics of the rural context.
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