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Bursting Neurons in the Hippocampal Formation Encode Features of LFP Rhythms

Overview of attention for article published in Frontiers in Computational Neuroscience, December 2016
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Title
Bursting Neurons in the Hippocampal Formation Encode Features of LFP Rhythms
Published in
Frontiers in Computational Neuroscience, December 2016
DOI 10.3389/fncom.2016.00133
Pubmed ID
Authors

Maria Constantinou, Soledad Gonzalo Cogno, Daniel H. Elijah, Emilio Kropff, John Gigg, Inés Samengo, Marcelo A. Montemurro

Abstract

Burst spike patterns are common in regions of the hippocampal formation such as the subiculum and medial entorhinal cortex (MEC). Neurons in these areas are immersed in extracellular electrical potential fluctuations often recorded as the local field potential (LFP). LFP rhythms within different frequency bands are linked to different behavioral states. For example, delta rhythms are often associated with slow-wave sleep, inactivity and anesthesia; whereas theta rhythms are prominent during awake exploratory behavior and REM sleep. Recent evidence suggests that bursting neurons in the hippocampal formation can encode LFP features. We explored this hypothesis using a two-compartment model of a bursting pyramidal neuron driven by time-varying input signals containing spectral peaks at either delta or theta rhythms. The model predicted a neural code in which bursts represented the instantaneous value, phase, slope and amplitude of the driving signal both in their timing and size (spike number). To verify whether this code is employed in vivo, we examined electrophysiological recordings from the subiculum of anesthetized rats and the MEC of a behaving rat containing prevalent delta or theta rhythms, respectively. In both areas, we found bursting cells that encoded information about the instantaneous voltage, phase, slope and/or amplitude of the dominant LFP rhythm with essentially the same neural code as the simulated neurons. A fraction of the cells encoded part of the information in burst size, in agreement with model predictions. These results provide in-vivo evidence that the output of bursting neurons in the mammalian brain is tuned to features of the LFP.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
United States 1 2%
Denmark 1 2%
Ireland 1 2%
Unknown 56 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Researcher 12 20%
Student > Master 7 12%
Student > Bachelor 5 8%
Student > Postgraduate 5 8%
Other 11 18%
Unknown 8 13%
Readers by discipline Count As %
Neuroscience 17 28%
Agricultural and Biological Sciences 8 13%
Engineering 6 10%
Psychology 5 8%
Medicine and Dentistry 5 8%
Other 10 17%
Unknown 9 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 January 2017.
All research outputs
#17,849,965
of 22,925,760 outputs
Outputs from Frontiers in Computational Neuroscience
#958
of 1,347 outputs
Outputs of similar age
#292,762
of 420,008 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#28
of 36 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,347 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,008 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.