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LONG-TERM POTENTIATION AND LEARNING
Annual Review of Psychology, 1996▪ Abstract Long-term potentiation (LTP), a relatively long-lived increase in synaptic strength, remains the most popular model for the cellular process that may underlie information storage within neural systems. The strongest arguments for a role of LTP in memory are theoretical and involve Hebb's Postulate, Marr's theory of hippocampal function, and
J L, Martinez, B E, Derrick
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Learning in potential games [PDF]
, 1997 We consider repeated play of so-called potential games. Numerous modes of play are shown to yield Nash equilibrium in the long run. We point to procedures that can account for society-wide constraints concerning efficiency.
Ermoliev, Y.M., Flam, S.D.
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Editorial: Play and learn: potentials of game‐based learning
British Journal of Educational Technology, 2007Many of us have grown up playing games, and in primary education games have a high presence in nonformal and informal segments of our learning. Unfortunately, in formal education, games are still often seen just as an unserious activity, and the potentials of games for learning often stay undiscovered. Digital game-based learning is a novel approach in
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Special Services in the Schools, 1986
This article describes the foundations and uses of learning potential assessment, a dynamic method of determining the student's capacity for cognitive modifiability. The method, which forms the basis for the Learning Potential Assessment Device (LPAD), can assist in identifying low functioning students whose capacity for greater achievement typically ...
Reuven Feuerstein +6 more
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This article describes the foundations and uses of learning potential assessment, a dynamic method of determining the student's capacity for cognitive modifiability. The method, which forms the basis for the Learning Potential Assessment Device (LPAD), can assist in identifying low functioning students whose capacity for greater achievement typically ...
Reuven Feuerstein +6 more
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Potential of Federated Learning in Healthcare
2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom), 2023Yan Hu, Ahmad Chaddad
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Machine learning for microbiologists
Nature Reviews Microbiology, 2023Francesco Asnicar +2 more
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Machine learning methods to model multicellular complexity and tissue specificity
Nature Reviews Materials, 2021Rachel S G Sealfon +2 more
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Potential of the Learning Project’s Task
2023Gesine Haseloff, Tiana Christin Weiß
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