ArticleFrontiers in computational neuroscience2015
Low-dimensional attractor for neural activity from local field potentials in optogenetic mice.
Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 12 citations in OpenAlex.
- Empirical mode decomposition of local field potential data from optogenetic experiments.Frontiers in computational neuroscience · 2023Article
- Local networks from different parts of the human cerebral cortex generate and share the same population dynamic.Cerebral cortex communications · 2022Article
- Precision multidimensional neural population code recovered from single intracellular recordings.Scientific reports · 2020Article
- Dopamine receptor antagonists effects on low-dimensional attractors of local field potentials in optogenetic mice.PloS one · 2019Article
- Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice.Frontiers in computational neuroscience · 2018Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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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