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The Spatial Learning Task of Lhermitte and Signoret (1972): Normative Data in Adults Aged 18–45
Frontiers in Psychology, 2022 ObjectiveThe Spatial Learning Task of Lhermitte and Signoret is an object-location arbitrary associative learning task. The task was originally developed to evaluate adults with severe amnesia.
Alana Collins +6 more
doaj +1 more source
Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning
INTERSPEECH 2023, 2023 We present Spatial LibriSpeech, a spatial audio dataset with over 650 hours of 19-channel audio, first-order ambisonics, and optional distractor noise. Spatial LibriSpeech is designed for machine learning model training, and it includes labels for source position, speaking direction, room acoustics and geometry.
Miguel Sarabia +9 more
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Spatial Thinking across the College Curriculum, Position Papers [PDF]
, 2012 More than 40 position papers were prepared by participants prior to meeting in Santa Barbara. The objective was to explore from a multi-discipline perspective the potential values and challenges of formulating curricula to advance the role of spatial ...
Spatial Intelligence Learning Center, Temple University +1 more
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Representation Learning for Spatial Graphs
CoRR, 2018 4 pages, 1 figure ...
Zheng Wang 0046 +3 more
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Spatial-Temporal Graph Contrastive Learning for Urban Traffic Flow Forecasting
, 2023 Graph Neural Networks(GNNs) integrating contrastive learning have attracted growing attentions in urban traffic flow forecasting. However, most existing graph contrastive learning works donot perform well in capturing local-global spatial dependencies ...
Jinbao Li (17371109) +2 more
core +1 more source
Frontiers in Molecular Neuroscience, 2017 Individual susceptibility determines the magnitude of stress effects on cognitive function. The hippocampus, a brain region of memory consolidation, is vulnerable to stressful environments, and the impact of stress on hippocampus may determine individual
Seung H. Jung +4 more
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The spatially conscious machine learning model [PDF]
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2019 AbstractSuccessfully predicting gentrification could have many social and commercial applications; however, real estate sales are difficult to predict because they belong to a chaotic system comprised of intrinsic and extrinsic characteristics, perceived value, and market speculation.
Timothy J. Kiely, Nathaniel D. Bastian
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Frontiers in Aging Neuroscience, 2019 BackgroundWith increasing aging populations worldwide, developing interventions against age-associated cognitive decline is particularly important. Evidence suggests that combination of brain stimulation with cognitive training intervention may enhance ...
Daria Antonenko +9 more
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Spatial Learning as an Adaptation in Hummingbirds
Science, 1982 An ecological approach based on food distribution suggests that hummingbirds should more easily learn to visit a flower in a new location than to learn to return to a flower in a position just visited, for a food reward. Experimental results support this hypothesis as well as the general view that differences in learning within and among species ...
Cole, Susan +4 more
openaire +3 more sources
Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Īlām, 2022 Introduction: Primary stress can impair the nervous structure including the hippocampus and behavioral functions such as memory; therefore, paying attention to neutralizing the destructive effects of stress on the body has been one of the debatable ...
Mohamad Hossein Sattarzadeh1 +2 more
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