Skip to main navigation
Skip to search
Skip to main content
Maastricht University Home
Support & FAQ
Link opens in a new tab
Search content at Maastricht University
Home
Researchers
Publications
Activities
Press/Media
Prizes
Organisations
Dataset/Software
Projects
SCAN: A Scalable Model of Attentional Selection
E.O. Postma
*
, H.J. van den Herik
, P Hudson
*
Corresponding author for this work
Department of Advanced Computing Sciences
Department of Advanced Computing Sciences
Research output
:
Contribution to journal
›
Article
›
Academic
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'SCAN: A Scalable Model of Attentional Selection'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Attention Network
100%
Attentional Selection
100%
Scalable Model
100%
Network Model
33%
Translation Invariant
33%
Simulation Study
16%
Neural Network Model
16%
Neural Network
16%
Natural Images
16%
Spatial Selection
16%
Covert Attention
16%
Ising Lattice
16%
Pattern Processing
16%
Gated Network
16%
Hierarchical Fractal Structure
16%
Statistical Mechanics
16%
Carpenter
16%
Biological Solutions
16%
Sparsely Connected
16%
ART Network
16%
Output Window
16%
Active Selection
16%
Invariant Pattern
16%
INIS
signals
100%
channeling
100%
processing
33%
neural networks
33%
images
16%
solutions
16%
simulation
16%
output
16%
fractals
16%
carpenter
16%
statistical mechanics
16%
Computer Science
Translation Invariant
100%
Simulation Study
50%
Neural Network
50%
Building-Blocks
50%
Neural Network Model
50%
Gating Network
50%
Engineering
Channelling
100%
Network Model
50%
Building Block
16%
Covert Attention
16%
Grossberg
16%
Biological Solution
16%
Natural Image
16%
Neuroscience
Neural Network
100%
Chemical Engineering
Neural Network
100%
Biochemistry, Genetics and Molecular Biology
Solution and Solubility
100%