2009
DOI: 10.1113/jphysiol.2009.169334
|View full text |Cite
|
Sign up to set email alerts
|

Multiple forms of activity‐dependent intrinsic plasticity in layer V cortical neurones in vivo

Abstract: Synaptic plasticity is classically considered as the neuronal substrate for learning and memory. However, activity-dependent changes in neuronal intrinsic excitability have been reported in several learning-related brain regions, suggesting that intrinsic plasticity could also participate to information storage. Compared to synaptic plasticity, there has been little exploration of the properties of induction and expression of intrinsic plasticity in an intact brain. Here, by the means of in vivo intracellular … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

11
50
0

Year Published

2011
2011
2023
2023

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 60 publications
(61 citation statements)
references
References 49 publications
11
50
0
Order By: Relevance
“…Remarkably, we found that the same conditioning protocol could induce either LLPIE or LL-DIE in barrel cortex neurons in vivo. We recently made partly similar observations in motor cortex neurons in vivo where repeated injection of suprathreshold currents produced enduring increases or decreases in membrane excitability, which were associated with changes in both current threshold and neuronal gain (Paz et al, 2009). Here, we show that the variability in neuronal spontaneous firing rate, which is inherent to the living brain (Sachdev et al, 2004;Polack and Charpier, 2006;Jacob et al, 2007;Pidoux et al, 2011), could provide a significant determinant of the polarity of plasticity.…”
Section: Bidirectional Intrinsic Plasticity In Barrel Cortex Neurons mentioning
confidence: 49%
See 2 more Smart Citations
“…Remarkably, we found that the same conditioning protocol could induce either LLPIE or LL-DIE in barrel cortex neurons in vivo. We recently made partly similar observations in motor cortex neurons in vivo where repeated injection of suprathreshold currents produced enduring increases or decreases in membrane excitability, which were associated with changes in both current threshold and neuronal gain (Paz et al, 2009). Here, we show that the variability in neuronal spontaneous firing rate, which is inherent to the living brain (Sachdev et al, 2004;Polack and Charpier, 2006;Jacob et al, 2007;Pidoux et al, 2011), could provide a significant determinant of the polarity of plasticity.…”
Section: Bidirectional Intrinsic Plasticity In Barrel Cortex Neurons mentioning
confidence: 49%
“…To generate firing frequency versus injected current ( F-I) relationships, the firing rate was measured in response to depolarizing current pulses of increasing intensity (500 ms, 0.1-1.4 nA) delivered with an interstimulus interval of 3.25-5.25 s. Each current intensity was applied 20 -25 times and the corresponding firing responses were averaged. As previously described (Paz et al, 2009), we applied linear regressions to F-I curves and determined the threshold current for AP generation, extrapolated as the x-intercept of the linear fit (Fig. 1D), and the neuronal gain, defined as the slope of the F-I curve.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, in vivo, the input/output function of rat motor cortex neurons can be modified by conditioning with a short burst of APs (6). In vitro, this modification can be related to changes in the number or kinetics of voltage-gated ion channels present in the plasma membrane in a compartmentdependent manner (i.e., axon, soma, and dendrite).…”
Section: Introductionmentioning
confidence: 99%
“…Note that weight normalizationWij(t) is a (simple) emulation of the "synaptic scaling" phenomenon observed in several regions of the brain [18] and that of the gain was inspired by the so-called "intrinsic plasticity" (i.e. activity dependent modification of the neuron gain) observed in the cortex [25]. T defines the robustness of a MC to noisy input and can take a value between 0 and 1.…”
Section: If the Weightwij(t) Is Low Xj(t)wij(t) If The Weightwij(t) Imentioning
confidence: 99%