2012
DOI: 10.1016/j.neunet.2012.02.009
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Network properties of a computational model of the dorsal raphe nucleus

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Cited by 20 publications
(30 citation statements)
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“…We found that the computational speed is greatly enhanced for the reduced model. We expect the improvement to be further enhanced in more realistic synaptically coupled neuronal network models (e.g., [12]). …”
Section: Discussionmentioning
confidence: 97%
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“…We found that the computational speed is greatly enhanced for the reduced model. We expect the improvement to be further enhanced in more realistic synaptically coupled neuronal network models (e.g., [12]). …”
Section: Discussionmentioning
confidence: 97%
“…The spiking patterns of these neuronal models depend only on a small set of parameters. To mimic serotonergic neurons, the Izhikevich model parameters were obtained from [12]. In particular, we simulate, under noisy condition, bursting spiking behavior with a higher reset value for the neuronal membrane potential immediately after a spike.…”
Section: Implementation Of Reduced Model With Fast Dynamics In a Smentioning
confidence: 99%
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“…The motivation for this is that it has been known that 5-HT and Ox can phasically activate in the presence of behaviourally relevant stimuli [84], [85], [86]. Furthermore, our current experimental finding suggests that 5-HT can influence LHA neurons over multiple timescales, through both the slow G-protein-coupled (non-5-HT 3A ) and fast ligand-gated (5-HT 3A ) receptors.…”
Section: Resultsmentioning
confidence: 60%
“…Additionally, computational models of raph e and other modulatory neurons suggest that their oscillations alter network behavior dramatically at low frequencies (Quilichini and Bernard, 2012). These models present multiple coexisting stable frequencies and spike synchrony that may spread from within a local neural subgroup to the global network (Wong-Lin et al, 2012).…”
Section: Preclinical Evidencementioning
confidence: 99%