The high-conductance state of neocortical neurons in vivo

By Alain Destexhe, Michael Rudolph, Denis Paré. Nature Reviews Neuroscience, 2003

1,101 citations recorded by the source corpus.

Intracellular recordings in vivo have shown that neocortical neurons are subjected to an intense synaptic bombardment in intact networks and are in a 'high-conductance' state. In vitro studies have shed light on the complex interplay between the active properties of dendrites and how they convey discrete synaptic inputs to the soma. Computational models have attempted to tie these results together and predicted that high-conductance states profoundly alter the integrative properties of cortical neurons, providing them with a number of computational advantages. Here, we summarize results from these different approaches, with the aim of understanding the integrative properties of neocortical neurons in the intact brain.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/b1501d0011478c7c240ae360edd17d2446cfb362

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Citations in the corpus

Neural syntax: cell assemblies, synapsembles and readers (2010, neutral): “The length of t is affected by a number of factors, including the background activity in the network and availability of subcortical neuromodulators (cf., Destexhe et al., 2003).”
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model (2006, neutral): “Similar to in-vitro and in-viv o measurements [9][10], the shortening of the membrane time constant when the total synaptic conductance reaches the high-conductance region could be studied with this model.”
Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, background): “This decrease in the membrane time constant corresponds to a proportional decrease in the temporal window of integration (Bernander et al., 1991; Borg-Graham et al., 1998; Hirsch et al., 1998; Destexhe et al., 2003; Kuhn et al., 2004; Leger et al., 2005; Hasenstaub et al., 2007; Kumar et al., 2008).”
Pyramidal Neuron Conductance State Gates Spike-Timing-Dependent Plasticity (2010, background): “In the intact neocortex, integrative properties also depend on the level of synaptic background activity (Destexhe et al., 2003).”
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? (2016, background): “How is this consistent with the highly dynamic nature of neural interactions? Indeed, at rest, the dynamics of neural networks is extremely complex, non-linear, and dynamic (Destexhe et al., 2003; Destexhe and Contreras, 2006).”
The spectral exponent of the resting EEG indexes the presence of consciousness during unresponsiveness induced by propofol, xenon, and ketamine (2019, positive): “…power-law behaviour has been observed for neural activity across different spatial-scales (He, 2014), e.g. in membrane potential fluctuations (Destexhe et al., 2003), in local field potentials (Milstein et al., 2009; Buzs aki and Mizuseki, 2014), in electrocorticography (ECoG) (He et al.,…”
2007 Special Issue: Edge of chaos and prediction of computational performance for neural circuit models (2007, neutral): “, Anderson, Lampl, Reichova, Carandini, and Ferster (2000), Destexhe et al. (2003), Shu, Hasenstaub, Badoual, Bal, and McCormick (2003)).”
In Vivo Measurement of Cell-Type-Specific Synaptic Connectivity and Synaptic Transmission in Layer 2/3 Mouse Barrel Cortex (2015, neutral): “In addition, the synaptic input occurring during UP states causes decreases in input resistance in some experimental preparations (Destexhe et al., 2003), but not others (Waters and Helmchen, 2006; Mateo et al., 2011).”
Copying and Evolution of Neuronal Topology (2008, background): “there can be a response even to single presynaptic spikes [50].”
Inferring Synaptic Excitation/Inhibition Balance from Field Potentials (2016, positive): “This state of fluctuating activity is referred to as the high-conductance state (Destexhe et al., 2003), and gives rise to the asynchronous, irregular (Poisson-like) firing observed in vivo (Destexhe et al.”
Gating information by two-state membrane potential fluctuations. (2007, background): “contrast, there is a decrease in input resistance in the dendrite which could be attributed to the high synaptic drive (Destexhe et al., 2003) that is not fully counteracted by the closure of the Page 18 of 40”
Network-timing-dependent plasticity (2015, background): “Neuronal properties in the network are consistent with the “high-conductance state” (Destexhe et al., 2003).”