Network dynamics underlying OFF responses in the auditory cortex

Across sensory systems, complex spatio-temporal patterns of neural activity arise following the onset (ON) and offset (OFF) of stimuli. While ON responses have been widely studied, the mechanisms generating OFF responses in cortical areas have so far not been fully elucidated. We examine here the hypothesis that OFF responses are single-cell signatures of recurrent interactions at the network level. To test this hypothesis, we performed population analyses of two-photon calcium recordings in the auditory cortex of awake mice listening to auditory stimuli, and compared linear single-cell and network models. While the single-cell model explained some prominent features of the data, it could not capture the structure across stimuli and trials. In contrast, the network model accounted for the low-dimensional organisation of population responses and their global structure across stimuli, where distinct stimuli activated mostly orthogonal dimensions in the neural state-space.

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Network dynamics underlying OFF responses in the auditory cortex

10.1101/810655 ◽

2019 ◽

Author(s):

Giulio Bondanelli ◽

Thomas Deneux ◽

Brice Bathellier ◽

Srdjan Ostojic

Keyword(s):

Auditory Cortex ◽

Single Cell ◽

Network Model ◽

Network Dynamics ◽

Population Responses ◽

Two Photon ◽

Cortical Areas ◽

Population Analyses ◽

Spatio Temporal ◽

Low Dimensional

AbstractAcross sensory systems, complex spatio-temporal patterns of neural activity arise following the onset (ON) and offset (OFF) of stimuli. While ON responses have been widely studied, the mechanisms generating OFF responses in cortical areas have so far not been fully elucidated. We examine here the hypothesis that OFF responses are single-cell signatures of network dynamics and propose a network model that generates transient OFF responses through recurrent interactions. To test this model, we performed population analyses of two-photon calcium recordings in the auditory cortex of awake mice listening to auditory stimuli. We found that the network model accounts for the low-dimensional organisation of population responses and their global structure across stimuli, where distinct stimuli activate mostly orthogonal dimensions in the neural state-space. In contrast, a single-cell mechanism explains some prominent features of the data, but does not account for the structure across stimuli and trials captured by the network model.

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Calibration of single-cell model parameters based on membrane resistance improves the accuracy of cardiac tissue simulations

Journal of Computational Science ◽

10.1016/j.jocs.2021.101375 ◽

2021 ◽

pp. 101375

Author(s):

Elnaz Pouranbarani ◽

Lucas Arantes Berg ◽

Rafael Sachetto Oliveira ◽

Rodrigo Weber dos Santos ◽

Anders Nygren

Keyword(s):

Single Cell ◽

Cardiac Tissue ◽

Cell Model ◽

Membrane Resistance ◽

Model Parameters ◽

Single Cell Model

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Direct observation of frequency modulated transcription in single cells using light activation

eLife ◽

10.7554/elife.00750 ◽

2013 ◽

Vol 2 ◽

Cited By ~ 90

Author(s):

Daniel R Larson ◽

Christoph Fritzsch ◽

Liang Sun ◽

Xiuhau Meng ◽

David S Lawrence ◽

...

Keyword(s):

Single Cell ◽

Single Molecule ◽

Single Cell Analysis ◽

Cell Model ◽

Single Cells ◽

Single Gene ◽

Gene Activation ◽

Light Activation ◽

Dynamic Synthesis ◽

Single Cell Model

Single-cell analysis has revealed that transcription is dynamic and stochastic, but tools are lacking that can determine the mechanism operating at a single gene. Here we utilize single-molecule observations of RNA in fixed and living cells to develop a single-cell model of steroid-receptor mediated gene activation. We determine that steroids drive mRNA synthesis by frequency modulation of transcription. This digital behavior in single cells gives rise to the well-known analog dose response across the population. To test this model, we developed a light-activation technology to turn on a single steroid-responsive gene and follow dynamic synthesis of RNA from the activated locus.

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A multimodal electrochemical approach to measure the effect of zinc on vesicular content and exocytosis in a single cell model of ischemia

QRB Discovery ◽

10.1017/qrd.2021.10 ◽

2021 ◽

pp. 1-15

Author(s):

Ying Wang ◽

Chaoyi Gu ◽

Andrew G. Ewing

Keyword(s):

Single Cell ◽

Cell Model ◽

Single Cell Model ◽

Electrochemical Approach

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Functional analysis of the methyltransferase SMYD in the single-cell model organism Tetrahymena thermophila

Marine Life Science & Technology ◽

10.1007/s42995-019-00025-y ◽

2020 ◽

Vol 2 (2) ◽

pp. 109-122

Author(s):

Xiaolu Zhao ◽

Yuan Li ◽

Lili Duan ◽

Xiao Chen ◽

Fengbiao Mao ◽

...

Keyword(s):

Functional Analysis ◽

Single Cell ◽

Tetrahymena Thermophila ◽

Cell Model ◽

Model Organism ◽

Single Cell Model

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The Effects of Chemicals and Radiations within the Cell: An Ultrastructural and Micrurgical Study Using Amoeba proteusas a Single-Cell Model

International Review of Cytology ◽

10.1016/s0074-7696(08)61999-3 ◽

1979 ◽

pp. 229-281 ◽

Cited By ~ 12

Author(s):

M.J. Ord

Keyword(s):

Single Cell ◽

Cell Model ◽

Single Cell Model

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Spatio-Temporal Nonlinear Modeling of Gastric Myoelectrical Activity

Methods of Information in Medicine ◽

10.1055/s-0038-1634266 ◽

2000 ◽

Vol 39 (02) ◽

pp. 186-190 ◽

Cited By ~ 7

Author(s):

J. Y. Cheung ◽

S. K. Gao ◽

J. D. Z. Chen ◽

Z. S. Wang

Keyword(s):

Temporal Evolution ◽

Cell Model ◽

Nonlinear Modeling ◽

Gastric Myoelectrical Activity ◽

Myoelectrical Activity ◽

Temporal Modeling ◽

Single Cell Model ◽

Spatial Propagation ◽

Rhythmic Oscillation ◽

Spatio Temporal

Abstract:The accomplishment of a complete digestive process of human stomach is regulated by a spatio-temporally-coordinated electric pattern called gastric myoelectrical activity (GMA). The normal patterns of GMA present temporal evolution from endogenous rhythmic oscillation to bursting of spikes associated with contractions, and also ordered spatial propagation of the oscillating waves. The abnormal patterns of GMA have been observed in temporal dysrhythmia, such as tachygastria, bradygastria and arrhythmia, and in spatial propagation failure, such as retrograde propagation and uncoupling. Different GMA patterns are associated with different gastric symptoms and there exist some nonlinear mechanisms to govern the formation and dynamic evolution of these patterns. However, these mechanisms are so complex that few of them are known by medical observations. The aim of this study is to explore these mechanisms by spatio-temporal modeling of GMA. The single-cell model simulating the formation process of slow waves and spikes, the multi-cell model simulating the propagation process of GMA and the extracellular model simulating the formation of bipolar recordings are presented.

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