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Minimal model of associative learning for cross-situational lexicon acquisition
(Academic PressMaryland Heights, 2012-12)
An explanation for the acquisition of word-object mappings is the associative learning in a crosssituational scenario. Here we present analytical results of the performance of a simple associative learning algorithm for ...
Reinforcement and inference in cross-situational world learning
(Frontiers Research FoundationLausanne, 2013-11)
Cross-situational word learning is based on the notion that a learner can determine the referent of a word by finding something in common across many observed uses of that word. Here we propose an adaptive learning algorithm ...
Dusky damselfish Stegastes fuscus relational learning: evidences from associative and spatial tasks
(The Fisheries Society of the British Isles, 2018)
Of Rats and People: A Select Comparative Analysis of Cue Competition, the Contents of Learning, and Retrieval
Select literature regarding cue competition, the contents of learning, and retrieval processes is summarized to demonstrate parallels and differences between human and nonhuman associative learning. Competition phenomena ...
Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata
Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules. An ...
Neural Dynamics of Associative Learning during Human Sleep.
Recent evidence indicates that humans can learn entirely new information during sleep. To elucidate the neural dynamics underlying sleep-learning, we investigated brain activity during auditory–olfactory discriminatory ...