Uncovering temporal structure in hippocampal output patterns
eLife, ISSN: 2050-084X, Vol: 7
2018
- 47Citations
- 202Captures
- 5Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations47
- Citation Indexes47
- CrossRef47
- 39
- Captures202
- Readers202
- 202
- Mentions5
- News Mentions5
- News5
Most Recent News
Brain ‘ripples’ lock in mental maps while bodies rest
New research using machine learning techniques shows that it’s possible to harvest minimal data from animal brains during periods of rest to shed light on how the brain forms and retains memories. The researchers’ work employs hidden Markov models commonly used in machine learning to study sequential patterns. Their strategy analyzes waves of firing neurons that race in an instant across the hippo
Article Description
Place cell activity of hippocampal pyramidal cells has been described as the cognitive substrate of spatial memory. Replay is observed during hippocampal sharp-wave-ripple-associated population burst events (PBEs) and is critical for consolidation and recall-guided behaviors. PBE activity has historically been analyzed as a phenomenon subordinate to the place code. Here, we use hidden Markov models to study PBEs observed in rats during exploration of both linear mazes and open fields. We demonstrate that estimated models are consistent with a spatial map of the environment, and can even decode animals’ positions during behavior. Moreover, we demonstrate the model can be used to identify hippocampal replay without recourse to the place code, using only PBE model congruence. These results suggest that downstream regions may rely on PBEs to provide a substrate for memory. Additionally, by forming models independent of animal behavior, we lay the groundwork for studies of non-spatial memory.
Bibliographic Details
10.7554/elife.34467; 10.7554/elife.34467.001; 10.7554/elife.34467.002; 10.7554/elife.34467.010; 10.7554/elife.34467.019; 10.7554/elife.34467.008; 10.7554/elife.34467.020; 10.7554/elife.34467.014; 10.7554/elife.34467.012; 10.7554/elife.34467.004
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85051928162&origin=inward; http://dx.doi.org/10.7554/elife.34467; http://www.ncbi.nlm.nih.gov/pubmed/29869611; https://elifesciences.org/articles/34467#abstract; http://dx.doi.org/10.7554/elife.34467.001; https://elifesciences.org/articles/34467#fig1; http://dx.doi.org/10.7554/elife.34467.002; https://elifesciences.org/articles/34467#fig4; http://dx.doi.org/10.7554/elife.34467.010; https://elifesciences.org/articles/34467#fig7; http://dx.doi.org/10.7554/elife.34467.019; https://elifesciences.org/articles/34467#fig3; http://dx.doi.org/10.7554/elife.34467.008; https://elifesciences.org/articles/34467#fig8; http://dx.doi.org/10.7554/elife.34467.020; https://elifesciences.org/articles/34467#fig6; http://dx.doi.org/10.7554/elife.34467.014; https://elifesciences.org/articles/34467#fig5; http://dx.doi.org/10.7554/elife.34467.012; https://elifesciences.org/articles/34467; https://elifesciences.org/articles/34467#fig2; http://dx.doi.org/10.7554/elife.34467.004; https://dx.doi.org/10.7554/elife.34467
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