LESH performance on correlated data. per Viktoria Zemliak (19500335)

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Connectivity adaptation. per Viktoria Zemliak (19500335)

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Plasticity regimes do not depend on repeat intervals. per Viktoria Zemliak (19500335)

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Model and experiments. per Viktoria Zemliak (19500335)

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Predicting generalizability from connectivity. per Viktoria Zemliak (19500335)

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The genetic algorithm. per Viktoria Zemliak (19500335)

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Plasticity regimes weakly depend on input similarity. per Viktoria Zemliak (19500335)

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Jaccard similarity. Template similarity () and corresponding average pairwise Jaccard similarity computed from the generated dataset. per Viktoria Zemliak (19500335)

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Models generalization across repeat intervals on the continual familiarity task. per Viktoria Zemliak (19500335)

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LESH performance on data of various sparseness. per Viktoria Zemliak (19500335)

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Distributions of optimal parameter values across sparseness levels. per Viktoria Zemliak (19500335)

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Stimulus sparseness. The proportion of 0s and 1s in the binary stimulus vector defines sparseness of the stimulus in a dataset. per Viktoria Zemliak (19500335)

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