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Recurrent loops: Incorporating prediction error and semantic/episodic theories into Drosophila associative memory models

In 2003, Martin Heisenberg et al. presented a model of how associative memories could be encoded and stored in the insect brain. This model was extremely influential in the Drosophila memory field, but did not incorporate several important mammalian concepts, including ideas of separate episodic and...

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Detalles Bibliográficos
Autor principal: Horiuchi, Junjiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900151/
https://www.ncbi.nlm.nih.gov/pubmed/30891930
http://dx.doi.org/10.1111/gbb.12567
Descripción
Sumario:In 2003, Martin Heisenberg et al. presented a model of how associative memories could be encoded and stored in the insect brain. This model was extremely influential in the Drosophila memory field, but did not incorporate several important mammalian concepts, including ideas of separate episodic and semantic types of memory and prediction error hypotheses. In addition, at that time, the concept of memory traces recurrently entering and exiting the mushroom bodies, brain areas where associative memories are formed and stored, was unknown. In this review, I present a simple updated model incorporating these ideas, which may be useful for future studies.