Topic: spatial information

The hippocampus is presumably involved in spatial navigation, the formation of long-term memories in mammals, and the construction of a cognitive map of space using a prominent feature – place cells [1] (PCs). It is unclear how PCs’ neural codes are related to memory: turnover of neural representations could be involved in learning, while codes’ stability may support long-term storage and retrieval of memories [2]. In this work, we focus on the analysis of one-photon (1P) calcium imaging data recorded from mouse CA1 during free foraging in a two-dimensional arena with the help of a miniature

Since their introduction as a theoretical concept in the 70es by Amari, ring attractor networks have been a popular tool to explain orientation and space dependence of neural activity. Only recently, there has been an experimental proof that they are actually implemented in the fly's brain (Kim et al. 2017). While these kind of networks are useful to model systems representing only one map, like head-direction systems for example, there is a multitude of maps stored in the hippocampus (cf. panel a of the figure). This extension is taken into account by continuous attractor neural networks (CAN

Standard models of episodic memory emphasise that parallel streams of spatial information, arriving from medial entorhinal cortex (MEC), and object information, arriving from lateral entorhinal cortex (LEC), are integrated within the hippocampus. However, we recently discovered that fan cells in the LEC send direct projections to MEC, suggesting that spatial and object information could be integrated within MEC (Vandrey et al. 2022, doi:10.7554/eLife.83008). Evidence for object-related firing in the MEC is consistent with this possibility, but whether LEC projections influence spatial and obje