Lei Ma

Jan 8, 2025 | mdpi.com | Yu Wang |Lei Ma |Yanan Niu |Huachao Ma

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Jan 7, 2025 | biorxiv.org | Bo Zhang |Lei Ma |Jia Liu

AbstractExperience replay, characterized by the sequential reactivation of hippocampal place cells, has been proposed to consolidate past experiences and simulate future scenarios, thereby constructing cognitive maps to guide action. However, the role of experience replay in the formation of hexagonal patterns of entorhinal grid cells — known to serve as the metrics of cognitive map — remains largely unknown.

Dec 5, 2024 | journals.plos.org | Yimin Shang |Wenfang Guo |Xiaomeng Liu |Lei Ma

Loading metrics This correction notice is issued to resolve errors with Figs 2 and 3 presented in [1]. The Fig 2A schematic diagram of four nif genes under control of different promoters was inadvertently excluded from the published Fig 2A and the published figure was labeled incorrectly. An updated Fig 2 presenting the schematic and correct labelling is provided with this notice. All panels in Fig 3B panels contain unmarked splice lines.

Nov 8, 2024 | onlinelibrary.wiley.com | Yuan-Yuan Wang |Lei Ma |Xiao-Jing Shi |Yu Chi Liu

DATA AVAILABILITY STATEMENT The data that support the findings of this study are available from the corresponding authors upon reasonable request.

Apr 10, 2024 | nature.com | Zichen Wang |Ying Xu |Lei Ma

AbstractThe suprachiasmatic nucleus (SCN) is the mammalian central circadian pacemaker with heterogeneous neurons acting in concert while each neuron harbors a self-sustained molecular clockwork. Nevertheless, how system-level SCN signals encode time of the day remains enigmatic. Here we show that population-level Ca2+ signals predict hourly time, via a group decision-making mechanism coupled with a spatially modular time feature representation in the SCN.