| | Models | Description |
| 1. |
Bursting respiratory net: clustered architecture gives large phase diff`s (Fietkiewicz et al 2011)
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Using a previous model of respiratory rhythm generation, we modified the network architecture such that cells can be segregated into two clusters. Cells within a given cluster burst with smaller phase differences than do cells from different clusters. This may explain the large phase differences seen experimentally, as reported in the paper. |
| 2. |
pre-Bötzinger complex variability (Fietkiewicz et al. 2016)
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" ... Based on
experimental observations, we developed a computational model that can
be embedded in more comprehensive models of respiratory and
cardiovascular autonomic control. Our simulation results successfully
reproduce the variability we observed experimentally. The in silico
model suggests that age-dependent variability may be due to a
developmental increase in mean synaptic conductance between preBötC
neurons. We also used simulations to explore the effects of stochastic
spiking in sensory relay neurons. Our results suggest that stochastic
spiking may actually stabilize modulation of both respiratory rate and
its variability when the rate changes due to physiological demand.
" |
| 3. |
Respiratory central pattern generator (mammalian brainstem) (Rubin & Smith 2019)
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This model includes a conditional respiratory pacemaker unit (representing the pre-Botzinger Complex), which can be tuned across oscillatory and non-oscillatory dynamic regimes in isolation, embedded into a full respiratory network. The work shows that under this embedding, the pacemaker unit's dynamics become masked: the network exhibits similar dynamical properties regardless of the conditional pacemaker node's tuning, and that node's outputs are dominated by
network influences. |
| 4. |
Respiratory central pattern generator including Kolliker-Fuse nucleus (Wittman et al 2019)
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We present three highly reduced conductance-based models for the core of the respiratory CPG. All successfully simulate respiratory outputs across eupnoeic and vagotomized conditions and show that loss of inhibition to the pontine Kolliker-Fuse nucleus reproduces the key respiratory alterations associated with Rett syndrome. |
| 5. |
Respiratory control model with brainstem CPG and sensory feedback (Diekman, Thomas, and Wilson 2017)
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This is a closed-loop respiratory control model incorporating a central pattern generator (CPG), the Butera-Rinzel-Smith (BRS) model, together with lung mechanics, oxygen handling, and chemosensory components. The closed-loop system exhibits bistability of bursting and tonic spiking. Bursting corresponds to coexistence of eupnea-like breathing, with normal minute ventilation and blood oxygen level. Tonic spiking corresponds to a tachypnea-like state, with pathologically reduced minute ventilation and critically low blood oxygen. In our paper, we use the closed-loop system to demonstrate robustness to changes in metabolic demand, spontaneous autoresuscitation in response to hypoxia, and the distinct mechanisms that underlie rhythmogenesis in the intact control circuit vs. the isolated, open-loop CPG. |
