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M-Current Expands the Range of Gamma Frequency Inputs to Which a Neuronal Target Entrains
Theta (4–8 Hz) and gamma (30–80 Hz) rhythms in the brain are commonly associated with memory and learning (Kahana in J Neurosci 26:1669–1672, 2006; Quilichini et al. in J Neurosci 30:11128–11142, 2010). The precision of co-firing between neurons and incoming inputs is critical in these cognitive fun...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281550/ https://www.ncbi.nlm.nih.gov/pubmed/30519798 http://dx.doi.org/10.1186/s13408-018-0068-6 |
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author | Zhou, Yujia Vo, Theodore Rotstein, Horacio G. McCarthy, Michelle M. Kopell, Nancy |
author_facet | Zhou, Yujia Vo, Theodore Rotstein, Horacio G. McCarthy, Michelle M. Kopell, Nancy |
author_sort | Zhou, Yujia |
collection | PubMed |
description | Theta (4–8 Hz) and gamma (30–80 Hz) rhythms in the brain are commonly associated with memory and learning (Kahana in J Neurosci 26:1669–1672, 2006; Quilichini et al. in J Neurosci 30:11128–11142, 2010). The precision of co-firing between neurons and incoming inputs is critical in these cognitive functions. We consider an inhibitory neuron model with M-current under forcing from gamma pulses and a sinusoidal current of theta frequency. The M-current has a long time constant (∼90 ms) and it has been shown to generate resonance at theta frequencies (Hutcheon and Yarom in Trends Neurosci 23:216–222, 2000; Hu et al. in J Physiol 545:783–805, 2002). We have found that this slow M-current contributes to the precise co-firing between the network and fast gamma pulses in the presence of a slow sinusoidal forcing. The M-current expands the phase-locking frequency range of the network, counteracts the slow theta forcing, and admits bistability in some parameter range. The effects of the M-current balancing the theta forcing are reduced if the sinusoidal current is faster than the theta frequency band. We characterize the dynamical mechanisms underlying the role of the M-current in enabling a network to be entrained to gamma frequency inputs using averaging methods, geometric singular perturbation theory, and bifurcation analysis. |
format | Online Article Text |
id | pubmed-6281550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-62815502018-12-26 M-Current Expands the Range of Gamma Frequency Inputs to Which a Neuronal Target Entrains Zhou, Yujia Vo, Theodore Rotstein, Horacio G. McCarthy, Michelle M. Kopell, Nancy J Math Neurosci Research Theta (4–8 Hz) and gamma (30–80 Hz) rhythms in the brain are commonly associated with memory and learning (Kahana in J Neurosci 26:1669–1672, 2006; Quilichini et al. in J Neurosci 30:11128–11142, 2010). The precision of co-firing between neurons and incoming inputs is critical in these cognitive functions. We consider an inhibitory neuron model with M-current under forcing from gamma pulses and a sinusoidal current of theta frequency. The M-current has a long time constant (∼90 ms) and it has been shown to generate resonance at theta frequencies (Hutcheon and Yarom in Trends Neurosci 23:216–222, 2000; Hu et al. in J Physiol 545:783–805, 2002). We have found that this slow M-current contributes to the precise co-firing between the network and fast gamma pulses in the presence of a slow sinusoidal forcing. The M-current expands the phase-locking frequency range of the network, counteracts the slow theta forcing, and admits bistability in some parameter range. The effects of the M-current balancing the theta forcing are reduced if the sinusoidal current is faster than the theta frequency band. We characterize the dynamical mechanisms underlying the role of the M-current in enabling a network to be entrained to gamma frequency inputs using averaging methods, geometric singular perturbation theory, and bifurcation analysis. Springer Berlin Heidelberg 2018-12-05 /pmc/articles/PMC6281550/ /pubmed/30519798 http://dx.doi.org/10.1186/s13408-018-0068-6 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Zhou, Yujia Vo, Theodore Rotstein, Horacio G. McCarthy, Michelle M. Kopell, Nancy M-Current Expands the Range of Gamma Frequency Inputs to Which a Neuronal Target Entrains |
title | M-Current Expands the Range of Gamma Frequency Inputs to Which a Neuronal Target Entrains |
title_full | M-Current Expands the Range of Gamma Frequency Inputs to Which a Neuronal Target Entrains |
title_fullStr | M-Current Expands the Range of Gamma Frequency Inputs to Which a Neuronal Target Entrains |
title_full_unstemmed | M-Current Expands the Range of Gamma Frequency Inputs to Which a Neuronal Target Entrains |
title_short | M-Current Expands the Range of Gamma Frequency Inputs to Which a Neuronal Target Entrains |
title_sort | m-current expands the range of gamma frequency inputs to which a neuronal target entrains |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281550/ https://www.ncbi.nlm.nih.gov/pubmed/30519798 http://dx.doi.org/10.1186/s13408-018-0068-6 |
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