Results 21 to 30 of about 1,473,358 (284)
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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Spatial Iterative Learning Control for Robotic Path Learning [PDF]
IEEE Transactions on Cybernetics, 2022 A spatial iterative learning control (sILC) method is proposed for a robot to learn a desired path in an unknown environment. When interacting with the environment, the robot initially starts with a predefined trajectory so an interaction force is generated.
Lin Yang +4 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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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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Differential recruitment of brain networks following route and cartographic map learning of spatial environments. [PDF]
, 2012 An extensive neuroimaging literature has helped characterize the brain regions involved in navigating a spatial environment. Far less is known, however, about the brain networks involved when learning a spatial layout from a cartographic map.
Copara, Milagros +2 more
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Spatial Metaphor Facilitates Word Learning
Child Development, 2020 Why are spatial metaphors, like the use of “high” to describe a musical pitch, so common? This study tested one hundred and fifty‐four 3‐ to 5‐year‐old English‐learning children on their ability to learn a novel adjective in the domain of space or pitch and to extend this adjective to the untrained dimension.
Ariel Starr +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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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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Saccade learning with concurrent cortical and subcortical basal ganglia loops [PDF]
, 2013 The Basal Ganglia is a central structure involved in multiple cortical and subcortical loops. Some of these loops are believed to be responsible for saccade target selection.
Girard, Benoît +2 more
core +3 more sources