Distance-tuned neurons drive specialized path integration calculations in medial entorhinal cortex.
Distance-tuned neurons drive specialized path integration calculations in medial entorhinal cortex.
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距离调整的神经元驱动内侧肠系膜内侧的专业路径积分计算。
DOI:
10.1016/j.celrep.2021.109669
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发表时间:
2021-09-07
期刊:
影响因子:
8.8
通讯作者:
Giocomo LM
中科院分区:
文献类型:
--
作者:
Campbell MG;Attinger A;Ocko SA;Ganguli S;Giocomo LM
During navigation, animals estimate their position using path integration and landmarks, engaging many brain areas. Whether these areas follow specialized or universal cue integration principles remains incompletely understood. We combine electrophysiology with virtual reality to quantify cue integration across thousands of neurons in three navigation-relevant areas: primary visual cortex (V1), retrosplenial cortex (RSC), and medial entorhinal cortex (MEC). Compared with V1 and RSC, path integration influences position estimates more in MEC, and conflicts between path integration and landmarks trigger remapping more readily. Whereas MEC codes position prospectively, V1 codes position retrospectively, and RSC is intermediate between the two. Lowered visual contrast increases the influence of path integration on position estimates only in MEC. These properties are most pronounced in a population of MEC neurons, overlapping with grid cells, tuned to distance run in darkness. These results demonstrate the specialized role that path integration plays in MEC compared with other navigation-relevant cortical areas. Campbell et al. use Neuropixels recordings in mice navigating a VR environment to show that MEC neurons are more influenced by path integration than V1 and RSC neurons. These differences are driven by a subset of MEC neurons that exhibit modular distance tuning in darkness, reminiscent of grid cells.
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