Threshold potential

Summary

In electrophysiology, the threshold potential is the critical level to which a membrane potential must be depolarized to initiate an action potential. In neuroscience, threshold potentials are necessary to regulate and propagate signaling in both the central nervous system (CNS) and the peripheral nervous system (PNS). Most often, the threshold potential is a membrane potential value between –50 and –55 mV, but can vary based upon several factors. A neuron's resting membrane potential (–70 mV) can be altered to either increase or decrease likelihood of reaching threshold via sodium and potassium ions. An influx of sodium into the cell through open, voltage-gated sodium channels can depolarize the membrane past threshold and thus excite it while an efflux of potassium or influx of chloride can hyperpolarize the cell and thus inhibit threshold from being reached. Discovery Initial experiments revolved around the concept that any electrical change that is brought about in neur

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https://en.wikipedia.org/wiki/Threshold_potential

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An action potential occurs when the membrane potential of a specific cell rapidly rises and falls. This depolarization then causes adjacent locations to similarly depolarize. Action potentials occur

Within a nervous system, a neuron, neurone, or nerve cell is an electrically excitable cell that fires electric signals called action potentials across a neural network. Neurons communicate with othe

Sodium channels are integral membrane proteins that form ion channels, conducting sodium ions (Na+) through a cell's membrane. They belong to the superfamily of cation channels. Classification

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Thalamus and cortex represent a highly integrated processing unit that elaborates sensory representations. Interposed between cortex and thalamus, the nucleus Reticularis thalami (nRt) receives strong cortical glutamatergic input and mediates top-down inhibitory feedback to thalamus. Despite growing appreciation that the nRt is integral for thalamocortical functions from sleep to attentional wakefulness, we still face considerable gaps in the synaptic bases for cortico-nRt communication and plastic regulation. Here, we examined modulation of nRt excitability by cortical synaptic drive in Ntsr1-Cre x ChR2(tg/+) mice expressing Channelrhodopsin2 in layer 6 corticothalamic cells. We found that cortico-nRt synapses express a major portion of NMDA receptors containing the GluN2C subunit (GluN2C-NMDARs). Upon repetitive photoactivation (10 Hz trains), GluN2C-NMDARs induced a long-term increase in nRt excitability involving a potentiated recruitment of T-type Ca2+ channels. In anaesthetized mice, analogous stimulation of cortical afferents onto nRt produced long-lasting changes in cortical local field potentials (LFPs), with delta oscillations being augmented at the expense of slow oscillations. This shift in LFP spectral composition was sensitive to NMDAR blockade in the nRt. Our data reveal a novel mechanism involving plastic modification of synaptically recruited T-type Ca2+ channels and nRt bursting and indicate a critical role for GluN2C-NMDARs in thalamocortical rhythmogenesis.

Nature Publishing Group2017

Optogenetic Probing of Cortical Synaptic Circuits Measured Through in Vivo Whole-Cell Recordings in the Mouse Barrel Cortex

Céline Matéo

Although neocortex underlies higher-order brain functions, little is known about the synaptic interactions that drive neocortical microcircuit function in vivo. The neocortex is spontaneously active in vivo so I explored how such spontaneous network activity affects in vivo the interactions between excitatory and inhibitory neurons in the barrel cortex. To this aim, I have focused on the layer 2/3 microcircuit of the C2 barrel column driving sensory processing for the C2 whisker, and combined in vivo whole-cell patch-clamp recordings in anesthetised and awake head-restrained mice with optogenetic stimulation, that allows controlling the activity of genetically defined neurons with light. I expressed channelrhodopsin-2 (ChR2), a light-gated cation channel to evoke action potentials in excitatory neurons with brief light pulses. The impact of this optogenetic stimulus was measured on the membrane potential dynamics of their postsynaptic target neurons. The optogenetic stimulus drove reliable action potentials in ChR2-expressing excitatory neurons, independent of the state of ongoing spontaneous cortical activity. In contrast, I found a marked modulation of light-evoked postsynaptic responses in ChR2-non-expressing excitatory neurons by cortical activity. During spontaneously hyperpolarised periods (DOWN state), optogenetic stimulation resulted in depolarisations of postsynaptic excitatory neurons, while during depolarised periods (UP state), the response was significantly smaller and shorter. The optogenetic stimulus drove the membrane potential of postsynaptic excitatory layer 2/3 neurons towards reversal potentials, which were hyperpolarised relative to action potential threshold, leading to a reduction in firing rates. Targeting whole-cell recordings to GFP-labelled GABAergic layer 2/3 neurons with two-photon microscopy revealed that both fast-spiking and non-fast-spiking inhibitory postsynaptic neurons were rapidly driven to fire action potentials, preferentially from UP states. Such rapid activation of inhibitory neurons in the UP state is likely to be responsible for decreasing firing rate in excitatory neurons. As a result, optogenetic stimulation of a given set of excitatory neurons results in a state-dependent recruitment of inhibitory neurons that limit the spread of excitation within the layer 2/3 microcircuit. The data presented here indicates that a powerful inhibitory loop within the cortical microcircuit rapidly balances excitation with inhibition and enforces sparse coding of layer 2/3 excitatory neurons.

EPFL2011

Subthreshold cross-correlations between cortical neurons: A reference model with static synapses

Wulfram Gerstner, Henry Markram, Gilad Silberberg

The structure of cross-correlations between subthreshold potentials of neocortical neurons was recently examined. Characteristic features included broad widths and significant peak advances. It was suggested that dynamic synapses shape these cross-correlations. Here a reference model is developed comprising leaky integrators with static synapses. The forms of the subthreshold correlations are derived analytically for two different forms of synaptic input: steady drive and populations bursts. For the latter case the model captures the widths seen in experiment. However, the model could not account for the peak advance. It is concluded that models with static synapses lack the necessary biological details for describing cortical dynamics.

Elsevier2005

Optogenetic Probing of Cortical Synaptic Circuits Measured Through in Vivo Whole-Cell Recordings in the Mouse Barrel Cortex

Céline Matéo

EPFL2011