2018
DOI: 10.1002/hipo.23051
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A model of cholinergic suppression of hippocampal ripples through disruption of balanced excitation/inhibition

Abstract: Sharp wave‐ripples (140–220 Hz) are patterns of brain activity observed in the local field potential of the hippocampus which are present during memory consolidation. As rodents switch from memory consolidation to memory encoding behaviors, cholinergic inputs to the hippocampus from neurons in the medial septum‐diagonal band of Broca cause a marked reduction in ripple incidence. The mechanism for this disruption in ripple power is not fully understood. In isolated neurons, the major effect of cholinergic input… Show more

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Cited by 8 publications
(13 citation statements)
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References 71 publications
(133 reference statements)
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“…The designed models are therefore of the pyramidal interneuron ripple class. Related are previous interneuron network ripple models [ 21 , 26 , 28 ], other pyramidal interneuron network HFO models [ 21 , 34 , 38 ] and pyramidal neuron network ripple models [ 41 , 42 ]. Compared to pure interneuron network ripple models, the inclusion of pyramidal cells and the condition of their sparse firing renders the generation of high frequency oscillations in interneuron network ripple models as well as in pyramidal interneuron network ripple models challenging.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The designed models are therefore of the pyramidal interneuron ripple class. Related are previous interneuron network ripple models [ 21 , 26 , 28 ], other pyramidal interneuron network HFO models [ 21 , 34 , 38 ] and pyramidal neuron network ripple models [ 41 , 42 ]. Compared to pure interneuron network ripple models, the inclusion of pyramidal cells and the condition of their sparse firing renders the generation of high frequency oscillations in interneuron network ripple models as well as in pyramidal interneuron network ripple models challenging.…”
Section: Discussionmentioning
confidence: 99%
“…If the interneuron network alone can already oscillate due to its recurrent inhibition, adding an excitatory population yields, for weak synchrony, a compromise between the oscillations that emerge due to the two mechanisms [ 23 , 34 ] or, for strong synchrony, competition between them [ 33 , 37 ]. Networks of the former, weakly synchronized type have been suggested as model for ripple oscillations [ 34 , 38 ]. Adding the excitatory population usually decreases the oscillation frequency of the network, but can also increase it [ 23 , 34 ].…”
Section: Introductionmentioning
confidence: 99%
“…Optogenetic activation of MS cholinergic neurons during SWS suppresses hippocampal ripple oscillations (Vandecasteele et al, 2014). Computational studies suggest an unbalanced excitation/ inhibition behind such a suppression effect (Melonakos et al, 2019). But the neural mechanism underlying such a phenomenon is still elusive.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, we find that simply increasing the level of external excitation to increase the oscillation frequency usually results in too much E cell spiking, which renders the models unsuitable to describe ripple oscillations. Previous two-population models for HFOs have assumed connection probabilities [27,29,37,117] and/or spiking dynamics [25,29,37,117] that do not fit the situation in CA1 [1,20,57]. Characteristic for the spiking activity during CA1 SPW/Rs is that they are a mixture of two often considered oscillation types: strongly synchronized [36] and weakly synchronized oscillations [25,27,37].…”
Section: Discussionmentioning
confidence: 99%