期刊
NEURON
卷 101, 期 4, 页码 584-602出版社
CELL PRESS
DOI: 10.1016/j.neuron.2019.01.044
关键词
-
资金
- Wellcome Trust [101445, 203048]
- Wellcome Trust Principal Research Fellowship
When animals interact with complex environments, their neural circuits must separate overlapping patterns of activity that represent sensory and motor information. Pattern separation is thought to be a key function of several brain regions, including the cerebellar cortex, insect mushroom body, and dentate gyrus. However, recent findings have questioned long-held ideas on how these circuits perform this fundamental computation. Here, we re-evaluate the functional and structural mechanisms underlying pattern separation. We argue that the dimensionality of the space available for population codes representing sensory and motor information provides a common framework for understanding pattern separation. We then discuss how these three circuits use different strategies to separate activity patterns and facilitate associative learning in the presence of trial-to-trial variability.
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