The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex

Yann Zerlaut; Stefano Zucca; Stefano Panzeri; Tommaso Fellin

doi:10.1016/j.celrep.2019.03.102

The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex

Standard

The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex. / Zerlaut, Yann; Zucca, Stefano; Panzeri, Stefano; Fellin, Tommaso.

in: CELL REP, Jahrgang 27, Nr. 4, 23.04.2019, S. 1119-1132.e7.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Zerlaut, Y, Zucca, S, Panzeri, S & Fellin, T 2019, 'The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex', CELL REP, Jg. 27, Nr. 4, S. 1119-1132.e7. https://doi.org/10.1016/j.celrep.2019.03.102

APA

Zerlaut, Y., Zucca, S., Panzeri, S., & Fellin, T. (2019). The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex. CELL REP, 27(4), 1119-1132.e7. https://doi.org/10.1016/j.celrep.2019.03.102

Vancouver

Zerlaut Y, Zucca S, Panzeri S, Fellin T. The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex. CELL REP. 2019 Apr 23;27(4):1119-1132.e7. https://doi.org/10.1016/j.celrep.2019.03.102

Bibtex

@article{2d3bfb5c1d0846bea93754bbfd1d5977,

title = "The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex",

abstract = "The awake cortex exhibits diverse non-rhythmic network states. However, how these states emerge and how each state impacts network function is unclear. Here, we demonstrate that model networks of spiking neurons with moderate recurrent interactions display a spectrum of non-rhythmic asynchronous dynamics based on the level of afferent excitation, from afferent input-dominated (AD) regimes, characterized by unbalanced synaptic currents and sparse firing, to recurrent input-dominated (RD) regimes, characterized by balanced synaptic currents and dense firing. The model predicted regime-specific relationships between different neural biophysical properties, which were all experimentally validated in the somatosensory cortex (S1) of awake mice. Moreover, AD regimes more precisely encoded spatiotemporal patterns of presynaptic activity, while RD regimes better encoded the strength of afferent inputs. These results provide a theoretical foundation for how recurrent neocortical circuits generate non-rhythmic waking states and how these different states modulate the processing of incoming information.",

keywords = "Action Potentials, Models, Neurological, Neocortex/physiology, Nerve Net/physiology, Neurons/physiology, Somatosensory Cortex/physiology, Synaptic Transmission/physiology, Wakefulness",

author = "Yann Zerlaut and Stefano Zucca and Stefano Panzeri and Tommaso Fellin",

year = "2019",

month = apr,

day = "23",

doi = "10.1016/j.celrep.2019.03.102",

language = "English",

volume = "27",

pages = "1119--1132.e7",

journal = "CELL REP",

issn = "2211-1247",

publisher = "Elsevier",

number = "4",

}

RIS

TY - JOUR

T1 - The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex

AU - Zerlaut, Yann

AU - Zucca, Stefano

AU - Panzeri, Stefano

AU - Fellin, Tommaso

PY - 2019/4/23

Y1 - 2019/4/23

N2 - The awake cortex exhibits diverse non-rhythmic network states. However, how these states emerge and how each state impacts network function is unclear. Here, we demonstrate that model networks of spiking neurons with moderate recurrent interactions display a spectrum of non-rhythmic asynchronous dynamics based on the level of afferent excitation, from afferent input-dominated (AD) regimes, characterized by unbalanced synaptic currents and sparse firing, to recurrent input-dominated (RD) regimes, characterized by balanced synaptic currents and dense firing. The model predicted regime-specific relationships between different neural biophysical properties, which were all experimentally validated in the somatosensory cortex (S1) of awake mice. Moreover, AD regimes more precisely encoded spatiotemporal patterns of presynaptic activity, while RD regimes better encoded the strength of afferent inputs. These results provide a theoretical foundation for how recurrent neocortical circuits generate non-rhythmic waking states and how these different states modulate the processing of incoming information.

AB - The awake cortex exhibits diverse non-rhythmic network states. However, how these states emerge and how each state impacts network function is unclear. Here, we demonstrate that model networks of spiking neurons with moderate recurrent interactions display a spectrum of non-rhythmic asynchronous dynamics based on the level of afferent excitation, from afferent input-dominated (AD) regimes, characterized by unbalanced synaptic currents and sparse firing, to recurrent input-dominated (RD) regimes, characterized by balanced synaptic currents and dense firing. The model predicted regime-specific relationships between different neural biophysical properties, which were all experimentally validated in the somatosensory cortex (S1) of awake mice. Moreover, AD regimes more precisely encoded spatiotemporal patterns of presynaptic activity, while RD regimes better encoded the strength of afferent inputs. These results provide a theoretical foundation for how recurrent neocortical circuits generate non-rhythmic waking states and how these different states modulate the processing of incoming information.

KW - Action Potentials

KW - Models, Neurological

KW - Neocortex/physiology

KW - Nerve Net/physiology

KW - Neurons/physiology

KW - Somatosensory Cortex/physiology

KW - Synaptic Transmission/physiology

KW - Wakefulness

U2 - 10.1016/j.celrep.2019.03.102

DO - 10.1016/j.celrep.2019.03.102

M3 - SCORING: Journal article

C2 - 31018128

VL - 27

SP - 1119-1132.e7

JO - CELL REP

JF - CELL REP

SN - 2211-1247

IS - 4

ER -