2021
DOI: 10.1016/j.brs.2021.10.412
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Multiscale co-simulation of deep brain stimulation with The Virtual Brain

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Cited by 2 publications
(6 citation statements)
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“…Third, the performance of TVB can be enhanced by increasing the number of nodes toward a fine-grained representation of brain properties. Finally, more precise representations of local neural activities can be obtained substituting NM with MF models [108] or, in perspective, with SNNs [109][110][111]. This means, de facto, that a bottom-up strategy can be used to obtain the model to be inserted into the top-down flow, thereby generating a hybrid simulation on mixed scales (cf Figures 2 and 3).…”
Section: Virtual Brain Modelsmentioning
confidence: 99%
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“…Third, the performance of TVB can be enhanced by increasing the number of nodes toward a fine-grained representation of brain properties. Finally, more precise representations of local neural activities can be obtained substituting NM with MF models [108] or, in perspective, with SNNs [109][110][111]. This means, de facto, that a bottom-up strategy can be used to obtain the model to be inserted into the top-down flow, thereby generating a hybrid simulation on mixed scales (cf Figures 2 and 3).…”
Section: Virtual Brain Modelsmentioning
confidence: 99%
“…Unavoidably, TVB at mixed scales poses a greater challenge for humans than for mice [112] because data about mouse neurons and connectivity are far more advanced [14,[18][19][20][21] and allow, in principle, reconstruction of a fine-grained brain model (Figure 3) by leveraging biophysically detailed neuron and microcircuit models [66], SNNs [78], axonal tractography [18], and a large set of multiscale data for reconstruction and validation [3,49]. In principle, a hybrid TVB [109][110][111] would allow an understanding of single neuron dynamics in the whole-brain context and exploration of the impact of single neurons and single spikes on brain dynamics [40][41][42]44,45].…”
Section: Virtual Brain Modelsmentioning
confidence: 99%
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