2017
DOI: 10.1098/rstb.2016.0156
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Experience-dependent homeostasis of ‘noise’ at inhibitory synapses preserves information coding in adult visual cortex

Abstract: Synapses are intrinsically 'noisy' in that neurotransmitter is occasionally released in the absence of an action potential. At inhibitory synapses, the frequency of action potential-independent release is orders of magnitude higher than that at excitatory synapses raising speculations that it may serve a function. Here we report that the frequency of action potential-independent inhibitory synaptic 'noise' (i.e. miniature inhibitory postsynaptic currents, mIPSCs) is highly regulated by sensory experience in vi… Show more

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Cited by 25 publications
(24 citation statements)
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“…Changes in inhibitory tone may be modulated via astrocytes [35] or NMDA receptor input [36]. Changing the activity of inhibitory neurons provides an important homeostatic mechanism by which activity levels can be rapidly (within seconds) adjusted through the increase or the decrease in the firing rate of inhibitory neurons to prevent short-term increases in activity levels that would be associated with pathological activity such as seizures; however, recent work suggests that minimizing changes to inhibition helps maintain temporal coding in the network, which is shaped by the inhibitory circuit [37], so some maintenance of inhibitory tone is likely essential for the circuit. Adjusting synaptic strength or neuronal excitability occurs over much longer time courses of hours [6], which would be much too slow to account for activity peaks that would potentially cause pathological over-excitation.…”
Section: Mechanisms Of Homeostatic Stabilizationmentioning
confidence: 99%
“…Changes in inhibitory tone may be modulated via astrocytes [35] or NMDA receptor input [36]. Changing the activity of inhibitory neurons provides an important homeostatic mechanism by which activity levels can be rapidly (within seconds) adjusted through the increase or the decrease in the firing rate of inhibitory neurons to prevent short-term increases in activity levels that would be associated with pathological activity such as seizures; however, recent work suggests that minimizing changes to inhibition helps maintain temporal coding in the network, which is shaped by the inhibitory circuit [37], so some maintenance of inhibitory tone is likely essential for the circuit. Adjusting synaptic strength or neuronal excitability occurs over much longer time courses of hours [6], which would be much too slow to account for activity peaks that would potentially cause pathological over-excitation.…”
Section: Mechanisms Of Homeostatic Stabilizationmentioning
confidence: 99%
“…Finally, it is worth pointing out that from a functional point of view, increases in release sites without changes in release probability could be a way to strengthen inhibitory output without altering the dynamic properties of release, which in the case of PV-INs, are uniquely tuned to maintain the performance over a wide range of firing activity (Bridi et al, 2020b). In turn, this idea concords with the notion of a need for mechanisms that change overall network inhibition without compromising the temporal dynamics of synaptic inhibition (Gao et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Acute visual cortical slices (300 µm) from G42 mice were prepared as previously described (Jiang et al, 2010b;Gu et al, 2013;Huang et al, 2013;Gao et al, 2017;Bridi et al, 2020b). Briefly, slices were cut in the ice-cold dissection buffer containing (in mM): 212.7 sucrose, 5 KCl, 1.25 NaH 2 PO 4 , 10 MgCl 2 , 0.5 CaCl 2 , 26 NaHCO 3 , 10 dextrose, bubbled with 95% O 2 /5% CO 2 (pH 7.4).…”
Section: Brain Slice Preparationmentioning
confidence: 99%
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“…Simulated gene regulatory networks with greater plasticity are more sensitive to the effects of mutations, harbour greater genetic variance, and have different evolutionary trajectories than non-plastic gene networks (Draghi and Whitlock, 2012). The activity-dependent homeostatic mechanisms that tune synaptic plasticity to preserve neural network stability and support ongoing plasticity (Tetzlaff et al, 2011;Gao et al, 2017;Zenke and Gerstner, 2017) have not been considered in the context of genetic variation. Thus we lack information about how variation in neural circuit plasticity might impact behavioural reliability, performance and evolvability.…”
Section: Box 1 Origins Of Evolutionary Innovations and Diversity In mentioning
confidence: 99%