The role of artificial neural network and machine learning in utilizing spatial information
Spatial Information Research, 2022 In this age of the fourth industrial revolution 4.0, the digital world has a plethora of data, including the internet of things, mobile, cybersecurity, social media, forecasts, health data, and so on.
A. Goel, Amit Kumar Goel, Adesh Kumar
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Covert Reorganization / Spatial Learning
, 2012 info:eu-repo/semantics ...
Rauchs, Géraldine, Peigneux, Philippe
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EXPERIMENTAL EVIDENCE FOR HOMING IN THE RED SWAMP CRAYFISH, PROCAMBARUS CLARKII
Knowledge and Management of Aquatic Ecosystems, 2006 The red swamp crayfish, Procambarus clarkii, is an efficient burrower, but its burrow fidelity has been recently questioned. In this study, we aimed at investigating whether individuals of this species are capable to learn the position of a goal (a wet ...
BARBARESI S., GHERARDI F.
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Arc/Arg3.1 mediates a critical period for spatial learning and hippocampal networks
Proceedings of the National Academy of Sciences of the United States of America, 2018 Significance Spatial learning and memory are hippocampal functions that emerge and mature during early postnatal development. The molecular mechanisms which shape this process are largely unknown.
Xiaoyan Gao +9 more
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Normal spatial learning and improved spatial working memory in mice (mus musculus) lacking dopamine d4 receptors [PDF]
, 2001 Dopamine terminals in the hippocampus and prefrontal cortex modulate cognitive processes such as spatial learning and working memory. Because dopamine D4 receptors are expressed in these brain areas we have analyzed mutant mice lacking this receptor ...
Avale, Maria Elena +3 more
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Frontiers in Psychology, 2017 Spatial cognitive skills deteriorate with the increasing use of automated GPS navigation and a general decrease in the ability to orient in space might have further impact on independence, autonomy, and quality of life.
K. Gramann, P. Hoepner, K. Karrer-Gauss
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Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation [PDF]
, 2019 In recent years, many spatial and temporal satellite image fusion (STIF) methods have been developed to solve the problems of trade-off between spatial and temporal resolution of satellite sensors.
Chen, Xiuwan +4 more
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Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to resolve this issue by enforcing spatial penalty on DCF coefficients, which ...
Feng Li +4 more
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Deep learning spatial phase unwrapping: a comparative review
Advanced Photonics Nexus, 2022 . Phase unwrapping is an indispensable step for many optical imaging and metrology techniques. The rapid development of deep learning has brought ideas to phase unwrapping.
Kaiqiang Wang +3 more
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Spatial Navigation: Spatial Learning in Real and Virtual Environments [PDF]
Comparative Cognition & Behavior Reviews, 2006 Humans and many non-human animals need to accurately and efficiently navigate from one place to the next in their environment. Over 3,000 years ago the volcanic islands of the Pacific were settled by the people of Polynesia (Gibbons, 2001). These navigators sailed in craft from Samoa to Hawaii covering an area extending some 4,500 km without the ...
Debbie M. Kelly, Brett M. Gibson
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