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Low-dimensional attractor for neural activity from local field potentials in optogenetic mice

Overview of attention for article published in Frontiers in Computational Neuroscience, October 2015
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Title
Low-dimensional attractor for neural activity from local field potentials in optogenetic mice
Published in
Frontiers in Computational Neuroscience, October 2015
DOI 10.3389/fncom.2015.00125
Pubmed ID
Authors

Sorinel A. Oprisan, Patrick E. Lynn, Tamas Tompa, Antonieta Lavin

Abstract

We used optogenetic mice to investigate possible nonlinear responses of the medial prefrontal cortex (mPFC) local network to light stimuli delivered by a 473 nm laser through a fiber optics. Every 2 s, a brief 10 ms light pulse was applied and the local field potentials (LFPs) were recorded with a 10 kHz sampling rate. The experiment was repeated 100 times and we only retained and analyzed data from six animals that showed stable and repeatable response to optical stimulations. The presence of nonlinearity in our data was checked using the null hypothesis that the data were linearly correlated in the temporal domain, but were random otherwise. For each trail, 100 surrogate data sets were generated and both time reversal asymmetry and false nearest neighbor (FNN) were used as discriminating statistics for the null hypothesis. We found that nonlinearity is present in all LFP data. The first 0.5 s of each 2 s LFP recording were dominated by the transient response of the networks. For each trial, we used the last 1.5 s of steady activity to measure the phase resetting induced by the brief 10 ms light stimulus. After correcting the LFPs for the effect of phase resetting, additional preprocessing was carried out using dendrograms to identify "similar" groups among LFP trials. We found that the steady dynamics of mPFC in response to light stimuli could be reconstructed in a three-dimensional phase space with topologically similar "8"-shaped attractors across different animals. Our results also open the possibility of designing a low-dimensional model for optical stimulation of the mPFC local network.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 17%
Researcher 5 17%
Student > Ph. D. Student 4 14%
Student > Master 4 14%
Student > Postgraduate 2 7%
Other 3 10%
Unknown 6 21%
Readers by discipline Count As %
Neuroscience 7 24%
Engineering 3 10%
Psychology 2 7%
Physics and Astronomy 2 7%
Medicine and Dentistry 2 7%
Other 5 17%
Unknown 8 28%
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 October 2015.
All research outputs
#20,293,238
of 22,829,683 outputs
Outputs from Frontiers in Computational Neuroscience
#1,161
of 1,343 outputs
Outputs of similar age
#230,967
of 275,403 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#30
of 34 outputs
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