Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise
Circuits of excitatory and inhibitory neurons generate gamma-rhythmic activity (30–80 Hz). Gamma-cycles show spontaneous variability in amplitude and duration. To investigate the mechanisms underlying this variability, we recorded local-field-potentials (LFPs) and spikes from awake macaque V1. We de...
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ri-123456789-470812022-05-04T11:53:38Z Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise Spyropoulos, Georgios Saponati, Matteo Dowdall, Jarrod Robert Schölvinck, Marieke Louise Bosman, Conrado Arturo Lima, Bruss Peter, Alina Onorato, Irene Klon-Lipok, Johanna Roese, Rasmus Neuenschwander, Sergio Tulio Fries, Pascal Vinck, Martin Computational neuroscience Neuroscience Sensory processing Visual system Circuits of excitatory and inhibitory neurons generate gamma-rhythmic activity (30–80 Hz). Gamma-cycles show spontaneous variability in amplitude and duration. To investigate the mechanisms underlying this variability, we recorded local-field-potentials (LFPs) and spikes from awake macaque V1. We developed a noise-robust method to detect gamma-cycle amplitudes and durations, which showed a weak but positive correlation. This correlation, and the joint amplitude-duration distribution, is well reproduced by a noise-driven damped harmonic oscillator. This model accurately fits LFP power-spectra, is equivalent to a linear, noise-driven E-I circuit, and recapitulates two additional features of gamma: (1) Amplitude-duration correlations decrease with oscillation strength; (2) amplitudes and durations exhibit strong and weak autocorrelations, respectively, depending on oscillation strength. Finally, longer gamma-cycles are associated with stronger spike-synchrony, but lower spike-rates in both (putative) excitatory and inhibitory neurons. In sum, V1 gamma-dynamics are well described by the simplest possible model of gamma: A damped harmonic oscillator driven by noise 2022-05-04T11:53:37Z 2022-05-04T11:53:37Z 2022-04-19 article SPYROPOULOS, Georgios; SAPONATI, Matteo; DOWDALL, Jarrod Robert; SCHÖLVINCK, Marieke Louise; BOSMAN, Conrado Arturo; LIMA, Bruss; PETER, Alina; ONORATO, Irene; KLON-LIPOK, Johanna; ROESE, Rasmus; NEUENSCHWANDER, Sergio; FRIES, Pascal; VINCK, Martin. Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise. Nature Communications, Frankfurt (Alemanha), v. 13, n. 2019, p. 1-18, abr. 2022. Disponível em: https://www.nature.com/articles/s41467-022-29674-x#Sec39. Acesso em: 02 maio 2022. https://repositorio.ufrn.br/handle/123456789/47081 https://doi.org/10.1038/s41467-022-29674-x en Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ application/pdf Springer Science and Business Media LLC |
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Computational neuroscience Neuroscience Sensory processing Visual system |
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Computational neuroscience Neuroscience Sensory processing Visual system Spyropoulos, Georgios Saponati, Matteo Dowdall, Jarrod Robert Schölvinck, Marieke Louise Bosman, Conrado Arturo Lima, Bruss Peter, Alina Onorato, Irene Klon-Lipok, Johanna Roese, Rasmus Neuenschwander, Sergio Tulio Fries, Pascal Vinck, Martin Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise |
| description |
Circuits of excitatory and inhibitory neurons generate gamma-rhythmic activity (30–80 Hz). Gamma-cycles show spontaneous variability in amplitude and duration. To investigate the mechanisms underlying this variability, we recorded local-field-potentials (LFPs) and spikes from awake macaque V1. We developed a noise-robust method to detect gamma-cycle amplitudes and durations, which showed a weak but positive correlation. This correlation, and the joint amplitude-duration distribution, is well reproduced by a noise-driven damped harmonic oscillator. This model accurately fits LFP power-spectra, is equivalent to a linear, noise-driven E-I circuit, and recapitulates two additional features of gamma: (1) Amplitude-duration correlations decrease with oscillation strength; (2) amplitudes and durations exhibit strong and weak autocorrelations, respectively, depending on oscillation strength. Finally, longer gamma-cycles are associated with stronger spike-synchrony, but lower spike-rates in both (putative) excitatory and inhibitory neurons. In sum, V1 gamma-dynamics are well described by the simplest possible model of gamma: A damped harmonic oscillator driven by noise |
| format |
article |
| author |
Spyropoulos, Georgios Saponati, Matteo Dowdall, Jarrod Robert Schölvinck, Marieke Louise Bosman, Conrado Arturo Lima, Bruss Peter, Alina Onorato, Irene Klon-Lipok, Johanna Roese, Rasmus Neuenschwander, Sergio Tulio Fries, Pascal Vinck, Martin |
| author_facet |
Spyropoulos, Georgios Saponati, Matteo Dowdall, Jarrod Robert Schölvinck, Marieke Louise Bosman, Conrado Arturo Lima, Bruss Peter, Alina Onorato, Irene Klon-Lipok, Johanna Roese, Rasmus Neuenschwander, Sergio Tulio Fries, Pascal Vinck, Martin |
| author_sort |
Spyropoulos, Georgios |
| title |
Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise |
| title_short |
Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise |
| title_full |
Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise |
| title_fullStr |
Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise |
| title_full_unstemmed |
Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise |
| title_sort |
spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise |
| publisher |
Springer Science and Business Media LLC |
| publishDate |
2022 |
| url |
https://repositorio.ufrn.br/handle/123456789/47081 https://doi.org/10.1038/s41467-022-29674-x |
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