In three texture segmentation experiments a target patch had to be detected. We studied the impact of a task-irrelevant patch in the backward mask on detection performance, and especially the modulating effects of its spatial distance to the target. It was assumed that the signals of the two texture irregularities interact as a function of their spatial distance. Experiment 1 revealed that the task-irrelevant patch impaired target detection only when the distance was small. In Experiments 2 and 3 with systematically varying distances, detection performance increased linearly with distance until a maximum point. If the task-irrelevant patch appeared outside of a critical distance, performance did not increase further with increasing distance. Our findings are discussed in terms of the biased competition account. It is proposed that the critical distance may correspond to the average receptive field size of a cortical area that is critical for target detection.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1163/156856809789822998 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
PreVISE: an efficient virtual reality system for SEEG surgical planning.
Virtual Real
December 2024
Department of Computer Science and Software Engineering, Concordia University, Montreal, Québec Canada.
Epilepsy is a neurological disorder characterized by recurring seizures that can cause a wide range of symptoms. Stereo-electroencephalography (SEEG) is a diagnostic procedure where multiple electrodes are stereotactically implanted within predefined brain regions to identify the seizure onset zone, which needs to be surgically removed or disconnected to achieve remission of focal epilepsy. This procedure is complex and challenging due to two main reasons.
View Article and Find Full Text PDFGenetic structure and demographic analysis of a true single-population species, Camellia azalea.
BMC Plant Biol
December 2024
Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai, 200438, China.
Single-population species (SPS) consist of only one natural population and often are at high risk of extinction. Although almost all species must go through this special stage in their evolutionary process, there is little understanding of how SPS survives. Camellia azalea C.
View Article and Find Full Text PDFMachine learning combined with geodetector to predict the spatial distribution of soil heavy metals in mining areas.
Sci Total Environ
December 2024
Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.
An accurate understanding of the spatial distribution of soil heavy metals (HMs) is crucial for the effective prevention of soil pollution and remediation strategies. Traditional machine learning models often overlook the spatially stratified heterogeneity inherent to environmental data, which can impair predictive accuracy. Therefore, we combined the Geodetector model (GDM) with machine learning models.
View Article and Find Full Text PDFInvestigation on the reliability calculation method of gravity dam based on CNN-LSTM and Monte Carlo method.
Network
December 2024
Department of Information Management, Asia Eastern University of Science and Technology, New Taipei, Panchiao, Taiwan.
To improve the calculation accuracy of the Monte Carlo (MC) method and reduce the calculation time. Firstly, CNN and LSTM deep learning networks are introduced for designing nonlinear dynamic systems simulating dam stress. Then, spatial feature mining and sequence information extraction of nonlinear data of dam stress are carried out respectively, and a combined prediction model of dam stress depth (DS-FEM-CNN-LSTM) is proposed.
View Article and Find Full Text PDFInfectious agent release and Pacific salmon exposure at Atlantic salmon farms revealed by environmental DNA.
Sci Rep
December 2024
Fisheries and Oceans Canada, Pacific Biological Station, Nanaimo, V9T 6N7, Canada.
The potential risk posed by infectious agents (IAs) associated with netpen aquaculture to wild fishes is determined based on the "release" of IAs from netpens into the environment, the "exposure" of the wild fish to those released agents, and the "consequence" for wild fish experiencing infection by those agents. Information available to characterize these three factors is often lacking, and the occurrence of transmission from aquaculture to wild fish as well as potential consequences of such transmission are difficult to observe. In this study, we utilized environmental DNA (eDNA) to characterize the release of dozens of IAs from, and exposure of Pacific salmon to, Atlantic salmon aquaculture.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!