Booth V, Bose A. (2002). Burst synchrony patterns in hippocampal pyramidal cell model networks. Network (Bristol, England). 13 [PubMed]

Breen BJ, Gerken WC, Butera RJ. (2003). Hybrid integrate-and-fire model of a bursting neuron. Neural computation. 15 [PubMed]

Butera RJ, Rinzel J, Smith JC. (1999). Models of respiratory rhythm generation in the pre-Bötzinger complex. I. Bursting pacemaker neurons. Journal of neurophysiology. 82 [PubMed]

• Respiratory pacemaker neurons (Butera et al 1999) [Model]

Diekman CO, Thomas PJ, Wilson CG. (2017). Eupnea, tachypnea, and autoresuscitation in a closed-loop respiratory control model. Journal of neurophysiology. 118 [PubMed]

• Respiratory control model with brainstem CPG and sensory feedback (Diekman, Thomas, and Wilson 2017) [Model]

Ermentrout GB, Terman DH. (2010). Mathematical Foundations of Neuroscience Interdisciplinary Applied Mathematics. 35

• Mathematical Foundations of Neuroscience (Ermentrout and Terman 2010) [Model]

Ferguson KA, Njap F, Nicola W, Skinner FK, Campbell SA. (2015). Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus. Journal of computational neuroscience. 39 [PubMed]

• Mean-field systems and small scale neural networks (Ferguson et al. 2015) [Model]
• CA1 pyramidal neuron network model (Ferguson et al 2015) [Model]

Fietkiewicz C, Loparo KA, Wilson CG. (2011). Drive latencies in hypoglossal motoneurons indicate developmental change in the brainstem respiratory network. Journal of neural engineering. 8 [PubMed]

• Bursting respiratory net: clustered architecture gives large phase diff`s (Fietkiewicz et al 2011) [Model]

Franci A, Drion G, Sepulchre R. (2018). Robust and tunable bursting requires slow positive feedback. Journal of neurophysiology. 119 [PubMed]

• Robust and tunable bursting requires slow positive feedback (Franci et al 2018) [Model]

Harris KD et al. (2017). Different roles for inhibition in the rhythm-generating respiratory network. Journal of neurophysiology. 118 [PubMed]

• Different roles for inhibition in the rhythm-generating respiratory network (Harris et al 2017) [Model]

Purvis LK, Butera RJ. (2005). Ionic current model of a hypoglossal motoneuron. Journal of neurophysiology. 93 [PubMed]

• Ionic current model of a Hypoglossal Motoneuron (Purvis & Butera 2005) [Model]

Purvis LK, Smith JC, Koizumi H, Butera RJ. (2007). Intrinsic bursters increase the robustness of rhythm generation in an excitatory network. Journal of neurophysiology. 97 [PubMed]

• Pacemaker neurons and respiratory rhythm generation (Purvis et al 2007) [Model]

Rubin JE. (2005). Surprising effects of synaptic excitation. Journal of computational neuroscience. 18 [PubMed]

Rubin JE, Hayes JA, Mendenhall JL, Del Negro CA. (2009). Calcium-activated nonspecific cation current and synaptic depression promote network-dependent burst oscillations. Proceedings of the National Academy of Sciences of the United States of America. 106 [PubMed]

• Ca2+-activated I_CAN and synaptic depression promotes network-dependent oscil. (Rubin et al. 2009) [Model]

Rubin JE, Shevtsova NA, Ermentrout GB, Smith JC, Rybak IA. (2009). Multiple rhythmic states in a model of the respiratory central pattern generator. Journal of neurophysiology. 101 [PubMed]

• Respiratory central pattern generator network in mammalian brainstem (Rubin et al. 2009) [Model]

Rubin JE, Smith JC. (2019). Robustness of respiratory rhythm generation across dynamic regimes. PLoS computational biology. 15 [PubMed]

• Respiratory central pattern generator (mammalian brainstem) (Rubin & Smith 2019) [Model]

Wilson CG, Fietkiewicz C, Shafer GO, Platt EA. (2016). Variability in respiratory rhythm generation: In vitro and in silico models Communications in Nonlinear Science and Numerical Simulation. 32

• pre-Bötzinger complex variability (Fietkiewicz et al. 2016) [Model]