42 search results - page 5 / 9 » Computational and neural mechanisms of task switching |
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
SCALESPACE
1999
Springer
15 years 1 months ago
1999
Springer
In this paper we develop partial differential equations (PDEs) that model the generation of a large class of morphological filters, the levelings and the openings/closings by rec...
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
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IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— The purpose of this article is to provide potential neuroscientists and computer scientists with an artificial retina model, delivering spikes to higher-level visual tasks sim...