Research Area: Machine Learning
Meta-learning, or learning to learn, has gained renewed interest in recent years within the artificial intelligence community. However, meta-learning is incredibly prevalent within nature, has deep roots in cognitive science and psychology, and is currently studied in various forms within neuroscience. The aim of this review is to recast previous lines of research in the study of biological intelligence within the lens of meta-learning, placing these works into a common framework. More recent points of interaction between AI and neuroscience will be discussed, as well as interesting new directions that arise under this perspective.
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Author(s) Name: Jane XWan
Journal name: Current Opinion in Behavioral Sciences
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Publisher name: ELSEVIER
DOI: https://doi.org/10.1016/j.cobeha.2021.01.002
Volume Information: Volume 38, April 2021, Pages 90-95
