{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T20:32:17Z","timestamp":1768509137829,"version":"3.49.0"},"posted":{"date-parts":[[2024,1,11]]},"group-title":"Neuroscience","reference-count":66,"publisher":"openRxiv","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2024,1,17]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:p>Animals employ spatial information in multisensory modalities to navigate their natural environments. However, it is unclear whether the brain encodes such information in separate cognitive maps or integrates all into a single, universal map. We addressed this question in the microcircuit of the medial entorhinal cortex (MEC), a cognitive map of space. Using cellular-resolution calcium imaging, we examined the MEC of mice navigating virtual reality tracks, where visual and auditory cues provided comparable spatial information. We uncovered two cell types: \u201cunimodality cells\u201d and \u201cmultimodality cells\u201d. The unimodality cells specifically represent either auditory or visual spatial information. They are anatomically intermingled and maintain sensory preferences across multiple tracks and behavioral states. The multimodality cells respond to both sensory modalities with their responses shaped differentially by auditory and visual information. Thus, the MEC enables accurate spatial encoding during multisensory navigation by computing spatial information in different sensory modalities and generating distinct maps.<\/jats:p>","DOI":"10.1101\/2024.01.09.574924","type":"posted-content","created":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T19:15:12Z","timestamp":1705000512000},"source":"Crossref","is-referenced-by-count":0,"title":["The medial entorhinal cortex encodes multisensory spatial information"],"prefix":"10.64898","author":[{"given":"Duc","family":"Nguyen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Garret","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4005-1622","authenticated-orcid":false,"given":"Yi","family":"Gu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"54368","reference":[{"key":"2024012120301104000_2024.01.09.574924v2.1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2023.04.012"},{"key":"2024012120301104000_2024.01.09.574924v2.2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2014.04.003"},{"key":"2024012120301104000_2024.01.09.574924v2.3","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4656"},{"key":"2024012120301104000_2024.01.09.574924v2.4","unstructured":"O\u2019Keefe. 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