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State transitions in the statistically stable place cell population correspond to rate of perceptual change.
- Source :
-
Current Biology . Aug2022, Vol. 32 Issue 16, p3505-3505. 1p. - Publication Year :
- 2022
-
Abstract
- The hippocampus occupies a central role in mammalian navigation and memory. Yet an understanding of the rules that govern the statistics and granularity of the spatial code, as well as its interactions with perceptual stimuli, is lacking. We analyzed CA1 place cell activity recorded while rats foraged in different large-scale environments. We found that place cell activity was subject to an unexpected but precise homeostasis—the distribution of activity in the population as a whole being constant at all locations within and between environments. Using a virtual reconstruction of the largest environment, we showed that the rate of transition through this statistically stable population matches the rate of change in the animals' visual scene. Thus, place fields near boundaries were small but numerous, while in the environment's interior, they were larger but more dispersed. These results indicate that hippocampal spatial activity is governed by a small number of simple laws and, in particular, suggest the presence of an information-theoretic bound imposed by perception on the fidelity of the spatial memory system. [Display omitted] • Neural activity in rodent CA1 place cell populations is homeostatically balanced • Hippocampal place field size and frequency are governed by proximity to boundaries • Transition rate through place cell population matches rate of change in visual scene New work by Tanni, de Cothi, and Barry finds that place cell activity in the mammalian hippocampus is homeostatically controlled—the distribution of firing rates in the population is stable. During motion, the rate of transition through these cells matches the rate of change in the visual scene, yielding smaller, more numerous fields near walls. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09609822
- Volume :
- 32
- Issue :
- 16
- Database :
- Academic Search Index
- Journal :
- Current Biology
- Publication Type :
- Academic Journal
- Accession number :
- 158607201
- Full Text :
- https://doi.org/10.1016/j.cub.2022.06.046