Principle of Equivalence
Classifying Matter by Composition
Second Uniqueness Theorem
Woodward–Hoffmann Selection Rules and Microscopic Reversibility
Generalization, Discrimination, and Extinction
Routh-Hurwitz Criterion II
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
Ramon Marin1,2, Colin Harte1,2,3, Deisy das Graças de Souza1,2
1Universidade Federal de São Carlos, Brazil.
This study shows that learning through exclusion can create meaningful connections between abstract concepts and familiar images. This process, known as equivalence class formation, helps understand how exclusion learning functions.
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