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Cited by 273Neural dynamics and brain functionNeuroscience and Neuropharmacology Researchstochastic dynamics and bifurcation

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

Synaptic background noise controls the input/output characteristics of single cells in an in vitro model of in vivo activity

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Fellous, J.-M, Rudolph, M, Destexhe, A, Sejnowski, T.J·2003·Neuroscience
DOI 10.1016/j.neuroscience.2003.08.027PMC PMC2928821
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Abstract

In vivo, in vitro and computational studies were used to investigate the impact of the synaptic background activity observed in neocortical neurons in vivo. We simulated background activity in vitro using two stochastic Ornstein-Uhlenbeck processes describing glutamatergic and GABAergic synaptic conductances, which were injected into a cell in real time using the dynamic clamp technique. With parameters chosen to mimic in vivo conditions, layer 5 rat prefrontal cortex cells recorded in vitro were depolarized by about 15 mV, their membrane fluctuated with a S.D. of about 4 mV, their input resistances decreased five-fold, their spontaneous firing had a high coefficient of variation and an average firing rate of about 5-10 Hz. Brief changes in the variance of the alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) synaptic conductance fluctuations induced time-locked spiking without significantly changing the average membrane potential of the cell. These transients mimicked increases in the correlation of excitatory inputs. Background activity was highly effective in modulating the firing-rate/current curve of the cell: the variance of the simulated gamma-aminobutyric acid (GABA) and AMPA conductances individually set the input/output gain, the mean excitatory and inhibitory conductances set the working point, and the mean inhibitory conductance controlled the input resistance. An average ratio of inhibitory to excitatory mean conductances close to 4 was optimal in generating membrane potential fluctuations with high coefficients of variation. We conclude that background synaptic activity can dynamically modulate the input/output properties of individual neocortical neurons in vivo.

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Metadata

Authors
Fellous, J.-M., Rudolph, M., Destexhe, A., & Sejnowski, T. J.
Affiliations
  • Salk Institute for Biological Studies (US)
  • Centre National de la Recherche Scientifique (FR)
Corresponding author
Fellous, J.-M
ORCID
Fellous, J.-M
Venue
Neuroscience
Publisher
Elsevier BV
Published
2003-01
Volume
122
Issue
3
Pages
811-829
ISSN
0306-4522 (ISSN-L)
DOI
10.1016/j.neuroscience.2003.08.027
PMC
PMC2928821
OpenAlex
W2125421120
Cited by
273
References
72
Citations by year
2026: 5 · 2025: 11 · 2024: 6 · 2023: 7 · 2022: 9 · 2021: 4 · 2020: 7 · 2019: 10 · 2018: 9 · 2017: 11 · 2016: 7 · 2015: 10 · 2014: 10 · 2013: 15 · 2012: 16
FWCI
7.98
Type
journal article
Language
en
Open access
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • HAL (submittedVersion)
Funders
Howard Hughes Medical Institute
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
Keywords
neocortical neurons, prefrontal cortex, layer 5 neurons, Ornstein-Uhlenbeck process, input resistance, firing rate, membrane potential fluctuations, dynamic clamp
MeSH terms
Animals, Computer Simulation, Membrane Potentials, Models, Neurological, Neural Conduction, Neural Inhibition, Synaptic Transmission, Neurons, Probability, Synapses, Time Factors, Electric Impedance, Rats, Sprague-Dawley, Patch-Clamp Techniques, Neocortex, Rats, In Vitro Techniques

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