ArticleScientific reports2019
Retrieval of spatial representation on network level in hippocampal CA3 accompanied by overexpression and mixture of stored network patterns.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Remapping revisited: how the hippocampus represents different spaces.Nature reviews. Neuroscience · 2024Review
- Impaired Dynamics of Positional and Contextual Neural Coding in an Alzheimer's Disease Rat Model.Journal of Alzheimer's disease : JAD · 2024Article
- Context-independent expression of spatial code in hippocampus.Scientific reports · 2022Article
- Early Spatial Memory Impairment in a Double Transgenic Model of Alzheimer's Disease TgF-344 AD.Brain sciences · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retrieval of stored network activity pattern has been shown as a competitive transition from one attractor state to another, orchestrated by local theta oscillation. However, the fine nature of this process that is considered as substrate of memory recall is not clear. We found that hippocampal network recall is characterized by hyperactivity in the CA3 place cell population, associated with an "overexpression" of the retrieved network pattern. The overexpression was based on recruitment of cells from the same (recalled) spatial representation with low expected firing probability at the given position. We propose that increased place cell activation during state transitions might facilitate pattern completion towards the retrieved network state and stabilize its expression in the network. Furthermore, we observed frequent mixing of both activity patterns at the temporal level of a single theta cycle. On a sub-theta cycle scale, we found signs of segregation that might correspond to a gamma oscillation patterning, as well as occasional mixing at intervals of less than 5 milliseconds. Such short timescale coactivity might induce plasticity mechanisms, leading to associations across the two originally decorrelated network activity states.
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