The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex
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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, Vol. 27, No. 4, 23.04.2019, p. 1119-1132.e7.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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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
N1 - Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.
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 -