Respiratory central pattern generator (mammalian brainstem) (Rubin & Smith 2019)


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

See more from authors: Rubin JE · Smith JC

References and models cited by this paper

Anderson TM et al. (2016). A novel excitatory network for the control of breathing. Nature. 536 [PubMed]

Ausborn J et al. (2018). Organization of the core respiratory network: Insights from optogenetic and modeling studies. PLoS computational biology. 14 [PubMed]

Ausborn J, Snyder AC, Shevtsova NA, Rybak IA, Rubin JE. (2018). State-dependent rhythmogenesis and frequency control in a half-center locomotor CPG. Journal of neurophysiology. 119 [PubMed]

Bacak BJ, Kim T, Smith JC, Rubin JE, Rybak IA. (2016). Mixed-mode oscillations and population bursting in the pre-Bötzinger complex. eLife. 5 [PubMed]

Bacak BJ, Segaran J, Molkov YI. (2016). Modeling the effects of extracellular potassium on bursting properties in pre-Bötzinger complex neurons. Journal of computational neuroscience. 40 [PubMed]

Baertsch NA, Baertsch HC, Ramirez JM. (2018). The interdependence of excitation and inhibition for the control of dynamic breathing rhythms. Nature communications. 9 [PubMed]

Bertram R, Rubin JE. (2017). Multi-timescale systems and fast-slow analysis. Mathematical biosciences. 287 [PubMed]

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

Chelaru MI, Dragoi V. (2008). Efficient coding in heterogeneous neuronal populations. Proceedings of the National Academy of Sciences of the United States of America. 105 [PubMed]

Daun S, Rubin JE, Rybak IA. (2009). Control of oscillation periods and phase durations in half-center central pattern generators: a comparative mechanistic analysis. Journal of computational neuroscience. 27 [PubMed]

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

Ermentrout B. (2002). Simulating, analyzing, and animating dynamical systems: a guide to XPPAUT for researchers and students.

Feldman JL, Del Negro CA. (2006). Looking for inspiration: new perspectives on respiratory rhythm. Nature reviews. Neuroscience. 7 [PubMed]

Fortuna MG, Kügler S, Hülsmann S. (2019). Probing the function of glycinergic neurons in the mouse respiratory network using optogenetics. Respiratory physiology & neurobiology. 265 [PubMed]

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

Izhikevich EM. (2007). Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting.

Janczewski WA, Tashima A, Hsu P, Cui Y, Feldman JL. (2013). Role of inhibition in respiratory pattern generation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

Koizumi H et al. (2018). Transient Receptor Potential Channels TRPM4 and TRPC3 Critically Contribute to Respiratory Motor Pattern Formation but not Rhythmogenesis in Rodent Brainstem Circuits. eNeuro. 5 [PubMed]

Koizumi H et al. (2016). Voltage-Dependent Rhythmogenic Property of Respiratory Pre-Bötzinger Complex Glutamatergic, Dbx1-Derived, and Somatostatin-Expressing Neuron Populations Revealed by Graded Optogenetic Inhibition. eNeuro. 3 [PubMed]

Koshiya N, Smith JC. (1999). Neuronal pacemaker for breathing visualized in vitro. Nature. 400 [PubMed]

Marchenko V et al. (2016). Perturbations of Respiratory Rhythm and Pattern by Disrupting Synaptic Inhibition within Pre-Bötzinger and Bötzinger Complexes. eNeuro. 3 [PubMed]

Marder E, O'Leary T, Shruti S. (2014). Neuromodulation of circuits with variable parameters: single neurons and small circuits reveal principles of state-dependent and robust neuromodulation. Annual review of neuroscience. 37 [PubMed]

Molkov YI et al. (2014). A closed-loop model of the respiratory system: focus on hypercapnia and active expiration. PloS one. 9 [PubMed]

Pace RW, Mackay DD, Feldman JL, Del Negro CA. (2007). Inspiratory bursts in the preBötzinger complex depend on a calcium-activated non-specific cation current linked to glutamate receptors in neonatal mice. The Journal of physiology. 582 [PubMed]

Peña F, Parkis MA, Tryba AK, Ramirez JM. (2004). Differential contribution of pacemaker properties to the generation of respiratory rhythms during normoxia and hypoxia. Neuron. 43 [PubMed]

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]

Ramirez JM, Baertsch NA. (2018). The Dynamic Basis of Respiratory Rhythm Generation: One Breath at a Time. Annual review of neuroscience. 41 [PubMed]

Rekling JC, Feldman JL. (1998). PreBötzinger complex and pacemaker neurons: hypothesized site and kernel for respiratory rhythm generation. Annual review of physiology. 60 [PubMed]

Rinzel J, Wang XJ. (1992). Alternating and synchronous rhythms in reciprocally inhibitory model neurons Neural Comput. 4

Rubin JE et al. (2011). Interacting oscillations in neural control of breathing: modeling and qualitative analysis. Journal of computational neuroscience. 30 [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]

Sherman D, Worrell JW, Cui Y, Feldman JL. (2015). Optogenetic perturbation of preBötzinger complex inhibitory neurons modulates respiratory pattern. Nature neuroscience. 18 [PubMed]

Skinner FK, Turrigiano GG, Marder E. (1993). Frequency and burst duration in oscillating neurons and two-cell networks. Biological cybernetics. 69 [PubMed]

Terman D, Rubin J. (2002). Synchronized activity and loss of synchrony among heterogeneous conditional oscillators SIAM J Appl Dyn Syst. 1

Terman D, Rubin J, Wechselberger M, Borisyuk A, Best J. (2005). The dynamic range of bursting in a model respiratory pacemaker network Siam J App Dyn Sys. 4

Vladimirski BB, Tabak J, O'Donovan MJ, Rinzel J. (2008). Episodic activity in a heterogeneous excitatory network, from spiking neurons to mean field. Journal of computational neuroscience. 25 [PubMed]

Yamanishi T, Koizumi H, Navarro MA, Milescu LS, Smith JC. (2018). Kinetic properties of persistent Na+ current orchestrate oscillatory bursting in respiratory neurons. The Journal of general physiology. 150 [PubMed]

References and models that cite this paper
This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.