In:
PLOS Computational Biology, Public Library of Science (PLoS), Vol. 17, No. 7 ( 2021-7-8), p. e1008835-
Abstract:
Place cells, spatially responsive hippocampal cells, provide the neural substrate supporting navigation and spatial memory. Historically most studies of these neurons have used electrophysiological recordings from implanted electrodes but optical methods, measuring intracellular calcium, are becoming increasingly common. Several methods have been proposed as a means to identify place cells based on their calcium activity but there is no common standard and it is unclear how reliable different approaches are. Here we tested four methods that have previously been applied to two-photon hippocampal imaging or electrophysiological data, using both model datasets and real imaging data. These methods use different parameters to identify place cells, including the peak activity in the place field, compared to other locations (the Peak method); the stability of cells’ activity over repeated traversals of an environment (Stability method); a combination of these parameters with the size of the place field (Combination method); and the spatial information held by the cells (Information method). The methods performed differently from each other on both model and real data. In real datasets, vastly different numbers of place cells were identified using the four methods, with little overlap between the populations identified as place cells. Therefore, choice of place cell detection method dramatically affects the number and properties of identified cells. Ultimately, we recommend the Peak method be used in future studies to identify place cell populations, as this method is robust to moderate variations in place field within a session, and makes no inherent assumptions about the spatial information in place fields, unless there is an explicit theoretical reason for detecting cells with more narrowly defined properties.
Type of Medium:
Online Resource
ISSN:
1553-7358
DOI:
10.1371/journal.pcbi.1008835
DOI:
10.1371/journal.pcbi.1008835.g001
DOI:
10.1371/journal.pcbi.1008835.g002
DOI:
10.1371/journal.pcbi.1008835.g003
DOI:
10.1371/journal.pcbi.1008835.g004
DOI:
10.1371/journal.pcbi.1008835.g005
DOI:
10.1371/journal.pcbi.1008835.g006
DOI:
10.1371/journal.pcbi.1008835.s001
DOI:
10.1371/journal.pcbi.1008835.s002
DOI:
10.1371/journal.pcbi.1008835.s003
DOI:
10.1371/journal.pcbi.1008835.s004
DOI:
10.1371/journal.pcbi.1008835.s005
DOI:
10.1371/journal.pcbi.1008835.s006
DOI:
10.1371/journal.pcbi.1008835.s007
DOI:
10.1371/journal.pcbi.1008835.s008
DOI:
10.1371/journal.pcbi.1008835.s009
DOI:
10.1371/journal.pcbi.1008835.s010
DOI:
10.1371/journal.pcbi.1008835.r001
DOI:
10.1371/journal.pcbi.1008835.r002
DOI:
10.1371/journal.pcbi.1008835.r003
DOI:
10.1371/journal.pcbi.1008835.r004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2193340-6
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