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Stellate Cells in the Medial Entorhinal Cortex Are Required for Spatial Learning
Author(s) -
Sarah A. Tennant,
Lukas Fischer,
Derek L.F. Garden,
Klára Z. Gerlei,
Cristina MartinezGonzalez,
Christina McClure,
Emma R. Wood,
Matthew F. Nolan
Publication year - 2018
Publication title -
cell reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.264
H-Index - 154
eISSN - 2639-1856
pISSN - 2211-1247
DOI - 10.1016/j.celrep.2018.01.005
Subject(s) - path integration , neuroscience , computer science , grid , path (computing) , virtual reality , hepatic stellate cell , spatial learning , entorhinal cortex , artificial intelligence , grid cell , spatial memory , computer vision , biology , geography , hippocampus , cognition , endocrinology , working memory , geodesy , programming language
Spatial learning requires estimates of location that may be obtained by path integration or from positional cues. Grid and other spatial firing patterns of neurons in the superficial medial entorhinal cortex (MEC) suggest roles in behavioral estimation of location. However, distinguishing the contributions of path integration and cue-based signals to spatial behaviors is challenging, and the roles of identified MEC neurons are unclear. We use virtual reality to dissociate linear path integration from other strategies for behavioral estimation of location. We find that mice learn to path integrate using motor-related self-motion signals, with accuracy that decreases steeply as a function of distance. We show that inactivation of stellate cells in superficial MEC impairs spatial learning in virtual reality and in a real world object location recognition task. Our results quantify contributions of path integration to behavior and corroborate key predictions of models in which stellate cells contribute to location estimation.

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