Results 21 to 30 of about 9,427,830 (306)
Spatially Consistent Representation Learning [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Self-supervised learning has been widely used to obtain transferrable representations from unlabeled images. Especially, recent contrastive learning methods have shown impressive performances on downstream image classification tasks. While these contrastive methods mainly focus on generating invariant global representations at the image-level under ...
Byungseok Roh +3 more
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CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning
Frontiers in Neuroinformatics, 2023 Reinforcement learning (RL) has become a popular paradigm for modeling animal behavior, analyzing neuronal representations, and studying their emergence during learning. This development has been fueled by advances in understanding the role of RL in both
Nicolas Diekmann +7 more
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Pharmaceutics, 2020 Research demonstrates that adolescents differ from adults in their response to drugs of abuse. The aim of the present study was to examine the influence of ethanol, Δ9-tetrahydrocannabinol hydrochloride (THC), and a combination of these drugs given ...
Ewa Gibula-Tarlowska +2 more
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Life, 2022 Using an in vivo method for the assessment of polyphosphoinositide (PI) hydrolysis, we examine whether spatial learning and memory extinction cause changes in mGlu5 metabotropic glutamate receptor signaling in the hippocampus and prefrontal cortex.
Ana Elena Teleuca +10 more
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Effective Data Management and Spatial Analytics
, 2021 This webinar introduced the implementations of effective data management and spatial analytics by academic and industry leaders of the field, and discuss the directions for further enhancement through integration with a cloud-based platform for research ...
Spatial Data Lab
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Effectively learning spatial indices
Proceedings of the VLDB Endowment, 2020 Machine learning, especially deep learning, is used increasingly to enable better solutions for data management tasks previously solved by other means, including database indexing. A recent study shows that a neural network can not only learn to predict the disk address of the data value associated with a one-dimensional search key but also outperform ...
Qi, Jianzhong +3 more
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Desirable Difficulties in Spatial Learning: Testing Enhances Subsequent Learning of Spatial Information [PDF]
Frontiers in Psychology, 2018 Previous work has shown that testing can enhance learning and retention of subsequently studied new information. The present study investigated this forward testing effect in spatial memory. In two experiments, participants studied four successively presented 3 × 3 arrays, each composed of the same nine objects.
Bufe, Jonathan, Aslan, Alp
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Measuring preferences for visual-spatial learning [PDF]
, 2016 This dissertation is a report on the validation of an instrument, Visual-Spatial Learning Questionnaire (VSLQ), developed to measure preferences for visual-spatial learning in secondary school students.
Capp, Matt
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eLife, 2016 Adult neurogenesis supports performance in many hippocampal dependent tasks. Considering the small number of adult-born neurons generated at any given time, it is surprising that this sparse population of cells can substantially influence behavior ...
Jia-Min Zhuo +10 more
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Learning Spatial Models for Navigation [PDF]
, 2015 Typically, autonomous robot navigation relies on a detailed, accurate map. The associated representations, however, do not readily support human-friendly interaction. The approach reported here offers an alternative: navigation with a spatial model and commonsense qualitative spatial reasoning. Both are based on research about how people experience and
Susan L. Epstein +4 more
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