ArticlePLoS computational biology2021
Choice of method of place cell classification determines the population of cells identified.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 26 citations in OpenAlex.
- Voltage imaging of CA1 pyramidal cells and SST+ interneurons reveals stability and plasticity mechanisms of spatial firing.Nature communications · 2026Article
- Epineuronal space: an emerging hidden hierarchy bridges neuron and mind space.Cell & bioscience · 2026Review
- Evaluating place cell detection methods in Rats and Humans: Implications for cross-species spatial coding.PLoS computational biology · 2026Article
- Distinct CA3 inputs differentially shape the learning-dependent evolution of right CA1 spatial maps.Nature communications · 2026Article
- Place cells in CA1 lack topographical organization of firing locations.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Disorganized Inhibitory Dynamics in Hippocampal area CA1 of 22q11.2 Deletion Mutant Mice.bioRxiv : the preprint server for biology · 2026Article
- Learning-Dependent Shift from Right to Left CA3 Input Dominance Shapes the Evolution of Right CA1 Spatial Maps.bioRxiv : the preprint server for biology · 2025Article
- Evaluating Place Cell Detection Methods in Rats and Humans - Implications for Cross-Species Spatial Coding: Place Cell Detection and Cross-Species Spatial Coding.bioRxiv : the preprint server for biology · 2025Article
- Goal-directed navigation in humans and deep reinforcement learning agents relies on an adaptive mix of vector-based and transition-based strategies.PLoS biology · 2025Article
- A flexible hippocampal population code for experience relative to reward.Nature neuroscience · 2025Article
- Synaptic plasticity rules driving representational shifting in the hippocampus.Nature neuroscience · 2025Article
- Article
- Hippocampal sequences span experience relative to rewards.bioRxiv : the preprint server for biology · 2024Article
- Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms.PLoS computational biology · 2023Article
- Beyond Correlation: Optimal Transport Metrics For Characterizing Representational Stability and Remapping in Neurons Encoding Spatial Memory.bioRxiv : the preprint server for biology · 2023Article
- APOE4 expression confers a mild, persistent reduction in neurovascular function in the visual cortex and hippocampus of awake mice.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Beyond correlation: optimal transport metrics for characterizing representational stability and remapping in neurons encoding spatial memory.Frontiers in cellular neuroscience · 2023Article
- Tracking longitudinal population dynamics of single neuronal calcium signal using SCOUT.Cell reports methods · 2022Article
- Calcium Imaging Reveals Fast Tuning Dynamics of Hippocampal Place Cells and CA1 Population Activity during Free Exploration Task in Mice.International journal of molecular sciences · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.