J. Quinn Lee, Matthew Nielsen, Rebecca McHugh, Erik Morgan, Nhung Hong, Robert J Sutherland, Robert J McDonald
{"title":"Sparsity of population activity in the hippocampus is task-invariant across the trisynaptic circuit and dorsoventral axis","authors":"J. Quinn Lee, Matthew Nielsen, Rebecca McHugh, Erik Morgan, Nhung Hong, Robert J Sutherland, Robert J McDonald","doi":"10.1101/2024.09.17.613549","DOIUrl":null,"url":null,"abstract":"Evidence from neurophysiological and genetic studies demonstrates that activity sparsity, the proportion of neurons that are active at a given time in a population, systematically varies across the canonical trisynaptic circuit of the hippocampus. Recent work has also shown that sparsity varies across the hippocampal dorsoventral (long) axis, wherein activity is sparser in ventral than dorsal regions. While the hippocampus has a critical role in long term memory (LTM), whether sparsity across the trisynaptic circuit and hippocampal long axis is task dependent or invariant remains unknown. Importantly, representational sparsity has significant implications for neural computation and theoretical models of learning and memory within and beyond the hippocampus. Here we used functional molecular imaging to quantify sparsity in the rat hippocampus during performance of the Morris water task (MWT) and contextual fear discrimination (CFD); two popular and distinct assays of LTM. We found that activity sparsity is highly reliable across memory tasks, wherein activity increases sequentially across the trisynaptic circuit (DG < CA3 < CA1) and decreases across the long axis (ventral < dorsal). These results have important implications for models of hippocampal function and suggest that activity sparsity is a preserved property in the hippocampal system across cognitive settings.","PeriodicalId":501581,"journal":{"name":"bioRxiv - Neuroscience","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv - Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.17.613549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Evidence from neurophysiological and genetic studies demonstrates that activity sparsity, the proportion of neurons that are active at a given time in a population, systematically varies across the canonical trisynaptic circuit of the hippocampus. Recent work has also shown that sparsity varies across the hippocampal dorsoventral (long) axis, wherein activity is sparser in ventral than dorsal regions. While the hippocampus has a critical role in long term memory (LTM), whether sparsity across the trisynaptic circuit and hippocampal long axis is task dependent or invariant remains unknown. Importantly, representational sparsity has significant implications for neural computation and theoretical models of learning and memory within and beyond the hippocampus. Here we used functional molecular imaging to quantify sparsity in the rat hippocampus during performance of the Morris water task (MWT) and contextual fear discrimination (CFD); two popular and distinct assays of LTM. We found that activity sparsity is highly reliable across memory tasks, wherein activity increases sequentially across the trisynaptic circuit (DG < CA3 < CA1) and decreases across the long axis (ventral < dorsal). These results have important implications for models of hippocampal function and suggest that activity sparsity is a preserved property in the hippocampal system across cognitive settings.