Victoria Yanulevskaya,Jan Bernard Marsman,Frans Cornelissen et al.
Victoria Yanulevskaya et al.
The problem of predicting where people look at, or equivalently salient region detection, has been related to the statistics of several types of low-level image features. Among these features, contrast and edge information seem to have the ...
Biased Competition in Visual Processing Hierarchies: A Learning Approach Using Multiple Cues [0.03%]
视觉处理层次中基于多重线索的学习偏向竞争模型
Alexander R T Gepperth,Sven Rebhan,Stephan Hasler et al.
Alexander R T Gepperth et al.
In this contribution, we present a large-scale hierarchical system for object detection fusing bottom-up (signal-driven) processing results with top-down (model or task-driven) attentional modulation. Specifically, we focus on the question ...
Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural Network [0.03%]
基于多层神经网络的赫布学习与竞争的词单元联合体的汇聚及巩固机制研究
Max Garagnani,Thomas Wennekers,Friedemann Pulvermüller
Max Garagnani
Current cognitive theories postulate either localist representations of knowledge or fully overlapping, distributed ones. We use a connectionist model that closely replicates known anatomical properties of the cerebral cortex and neurophysi...