2022
DOI: 10.1007/s10827-022-00814-y
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Local inhibition in a model of the indirect pathway globus pallidus network slows and deregularizes background firing, but sharpens and synchronizes responses to striatal input

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Cited by 7 publications
(11 citation statements)
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“…Our study is specific to layer 2/3 medial entorhinal cortex because both intrinsic and synaptic parameters of the network were constrained by data from this region [15]. The only other study that has previously attempted to capture the true extent of heterogeneity in the intrinsic properties of the PV+ interneuronal network, carried out in the external segment of the globus pallidus [71], did not address network synchronization. A recent model of the PV+ interneuronal network in the dentate gyrus considered both heterogeneity in the synaptic connectivity, as PLOS COMPUTATIONAL BIOLOGY well as the Poisson excitatory synaptic drive input, and used combinations of five different reconstructed interneurons in networks with 200 interneurons [72]; they found that the dendritic location of heterogeneous excitatory input greatly mitigated its desynchronizing effects, regardless of whether the inhibition was shunting or hyperpolarizing.…”
Section: Caveats On Generalitymentioning
confidence: 99%
“…Our study is specific to layer 2/3 medial entorhinal cortex because both intrinsic and synaptic parameters of the network were constrained by data from this region [15]. The only other study that has previously attempted to capture the true extent of heterogeneity in the intrinsic properties of the PV+ interneuronal network, carried out in the external segment of the globus pallidus [71], did not address network synchronization. A recent model of the PV+ interneuronal network in the dentate gyrus considered both heterogeneity in the synaptic connectivity, as PLOS COMPUTATIONAL BIOLOGY well as the Poisson excitatory synaptic drive input, and used combinations of five different reconstructed interneurons in networks with 200 interneurons [72]; they found that the dendritic location of heterogeneous excitatory input greatly mitigated its desynchronizing effects, regardless of whether the inhibition was shunting or hyperpolarizing.…”
Section: Caveats On Generalitymentioning
confidence: 99%
“…By obtaining a PRC for current input and an interspike membrane potential trajectory, the responses of the neuron to synaptic conductances can be predicted. PRCs obtained this way have predicted spike responses of several types of pacemaker neurons ( Wilson et al, 2014 ; Higgs and Wilson, 2017 ; Simmons et al, 2018 , 2020 ; Morales et al, 2020 ; Olivares et al, 2022 ) and other neurons that fire rhythmically when depolarized ( Wilson, 2017 ; Higgs and Wilson, 2019 ). A previous study measured PRCs of VTA DA neurons using optogenetic stimuli ( van der Velden et al, 2020 ) but did not investigate the ionic mechanisms that determine the PRC.…”
Section: Introductionmentioning
confidence: 99%
“…The resulting matrix of applied charges was subjected to multiple regression analysis to estimate the iPRC values at each bin. The resulting iPRCs were parameterized as in Olivares et al (2022) [47] using an ad hoc function with 7 free parameters that has proven capable of capturing the shape and size of the GPe iPRC. The parameterized iPRC was used to simulate the phase equation (see below) and obtain the iPRC Fourier components.…”
Section: Methodsmentioning
confidence: 99%
“…The resulting iPRCs were parameterized as in Olivares et al (2022) [47] using an ad hoc function with 7 free parameters that has proven capable of capturing the shape and size of the GPe iPRC. The parameterized iPRC was used to simulate the phase equation (see below)…”
Section: Iprc Measurementsmentioning
confidence: 99%