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Investigating Transfer Learning in Noisy Environments: A Study of Predecessor and Successor Features in Spatial Learning Using a T-Maze. [PDF]
Sensors (Basel)Seo I, Lee H.
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Neural Processing Letters, 2006
Neurons are electrically active structures determined by the evolution of ion-specific pumps and channels that allow the transfer of charges under the influence of electric fields and concentration gradients. Extensive studies of spike timing of neurons and the relationship to learning exist. However, the properties of spatial activations during action
Dorian Aur, Mandar S. Jog
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Neurons are electrically active structures determined by the evolution of ion-specific pumps and channels that allow the transfer of charges under the influence of electric fields and concentration gradients. Extensive studies of spike timing of neurons and the relationship to learning exist. However, the properties of spatial activations during action
Dorian Aur, Mandar S. Jog
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Efficiently Learning Spatial Indices
2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023Learned indices can leverage the high prediction accuracy and efficiency of modern deep learning techniques. They are capable of delivering better query performance than traditional indices over one-dimensional data. Recent studies demonstrate that we can also achieve query-efficient learned in-dices for spatial data by partitioning and subsequently ...
Guanli Liu +4 more
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Learned Index for Spatial Queries
2019 20th IEEE International Conference on Mobile Data Management (MDM), 2019With the pervasiveness of location-based services (LBS), spatial data processing has received considerable attention in the research of database system management. Among various spatial query techniques, index structures play a key role in data access and query processing.
Haixin Wang 0001 +3 more
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2006
The scope of research described in this contribution is to verify if the performance in a spatial reconstruction task is determined from mechanisms of visuo-spatial memory and from the characteristics of the subject, like the age and the sex, rather than from those of the environment, like landmarks or elements contained within it (in turn ...
LAI B. +2 more
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The scope of research described in this contribution is to verify if the performance in a spatial reconstruction task is determined from mechanisms of visuo-spatial memory and from the characteristics of the subject, like the age and the sex, rather than from those of the environment, like landmarks or elements contained within it (in turn ...
LAI B. +2 more
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Spatial Learning and Memory in Birds
Brain, Behavior and Evolution, 2004Behavioral ecologists, well versed in addressing functional aspects of behavior, are acknowledging more and more the attention they need also to pay to mechanistic processes. One of these is the role of cognition. Song learning and imprinting are familiar examples of behaviors for which cognition plays an important role, but attention is now turning to
Susan D, Healy, T Andrew, Hurly
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Proceedings of the AAAI Conference on Artificial Intelligence, 2011
This paper explores a new measure of similarity between point sets in arbitrary metric spaces. The measure is based on the spatial overlap of the “shapes” and “densities” of these point sets. It is applicable in any domain where point sets are a natural representation for data.
Michael H. Coen +2 more
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This paper explores a new measure of similarity between point sets in arbitrary metric spaces. The measure is based on the spatial overlap of the “shapes” and “densities” of these point sets. It is applicable in any domain where point sets are a natural representation for data.
Michael H. Coen +2 more
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The cholinergic system and spatial learning
Behavioural Brain Research, 2011Acetlylcholine (ACh) in the central nervous system is critical for a multitude of functions. Here, we concentrate on declarative memory in humans, and its equivalent episodic-like memory in rodents and highlight current understanding of cholinergic system in these processes.
Serena, Deiana +2 more
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Spatial Aspects of Active Learning
2013This paper explores the relationship between the design of active learning places for children and intelligent environments. With focus on active learning in the digital age, it articulates various spatial relations in children's interactions with the environment.
Ipek Kay, Mine Özkar
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