2006
DOI: 10.1523/jneurosci.3106-06.2006
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Release Probability-Dependent Scaling of the Postsynaptic Responses at Single Hippocampal GABAergic Synapses

Abstract: The amount of neurotransmitter released after the arrival of an action potential affects the strength and the trial-to-trial variability of postsynaptic responses. Most studies examining the dependence of synaptic neurotransmitter concentration on the release probability (P r ) have focused on glutamatergic synapses. Here we asked whether univesicular or multivesicular release characterizes transmission at hippocampal GABAergic synapses. We used multiple probability functional analysis to derive quantal parame… Show more

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Cited by 72 publications
(88 citation statements)
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References 48 publications
(93 reference statements)
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“…5C) may indicate flux in postsynaptic elements on a single dendrite region associated with a multiple synapse bouton. GABAergic boutons bearing multiple active zones, each with associated postsynaptic specialization, have been described previously in several brain regions (Studler et al, 2002;Biro et al, 2006). At such GABAergic synapses, spillover of transmitter released from one active zone may activate receptors opposite another active zone and may contribute to high persistent inhibition over stimulus trains (Telgkamp et al, 2004;Wanaverbecq et al, 2008).…”
Section: Discussionmentioning
confidence: 93%
“…5C) may indicate flux in postsynaptic elements on a single dendrite region associated with a multiple synapse bouton. GABAergic boutons bearing multiple active zones, each with associated postsynaptic specialization, have been described previously in several brain regions (Studler et al, 2002;Biro et al, 2006). At such GABAergic synapses, spillover of transmitter released from one active zone may activate receptors opposite another active zone and may contribute to high persistent inhibition over stimulus trains (Telgkamp et al, 2004;Wanaverbecq et al, 2008).…”
Section: Discussionmentioning
confidence: 93%
“…5A) (4,8,48). However, as in other cases, intrinsic quantal variability associated with unitary connections, and other factors, impeded a precise distinction between N (release sites) and P (release probability) (41,51). However, both parameters signal presynaptic mechanisms.…”
Section: Resultsmentioning
confidence: 99%
“…V-M analysis is increasingly more popular than classical histogram-based quantal analysis as a means of characterizing synaptic function (Silver et al, 1998;Reid and Clements, 1999;Oleskevich et al, 2000;Oleskevich and Walmsley, 2002;Foster and Regehr, 2004;Sargent et al, 2005;Biró et al, 2006;Zhang et al, 2006;Baldelli et al, 2007). A major advantage of the V-M approach, at least in its simple form, is that estimates of N and Q can be obtained relatively easily, without the complex and error-prone histogram-fitting procedure of classical quantal analysis (Stricker and Redman, 2003;Ninio, 2007).…”
Section: Strengths and Weaknesses Of The V-m Approachmentioning
confidence: 99%
“…This technique is appealing because, in its simplest form, it is easier to apply than the traditional, histogram-based quantal analysis (Stricker and Redman, 2003). Thus, the V-M approach has increasingly been used to assess functional changes at synapses (Oleskevich et al, 2000;Foster and Regehr, 2004;Sargent et al, 2005;Biró et al, 2006;Zhang et al, 2006;Baldelli et al, 2007). However, despite its growing popularity, the V-M technique has not yet been empirically verified in a system that previously has been well characterized using other methods of quantal analysis.…”
Section: Introductionmentioning
confidence: 99%
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