Altimimi HF, Schnetkamp PP. (2007). Na+/Ca2+-K+ exchangers (NCKX): functional properties and physiological roles. Channels (Austin, Tex.). 1 [PubMed]
Attwell D, Laughlin SB. (2001). An energy budget for signaling in the grey matter of the brain. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 21 [PubMed]
Bikson M, Hahn PJ, Fox JE, Jefferys JG. (2003). Depolarization block of neurons during maintenance of electrographic seizures. Journal of neurophysiology. 90 [PubMed]
Brette R, Gerstner W. (2005). Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. Journal of neurophysiology. 94 [PubMed]
Brunel N, van Rossum MC. (2007). Lapicque's 1907 paper: from frogs to integrate-and-fire. Biological cybernetics. 97 [PubMed]
Carter BC, Bean BP. (2009). Sodium entry during action potentials of mammalian neurons: incomplete inactivation and reduced metabolic efficiency in fast-spiking neurons. Neuron. 64 [PubMed]
Chang M et al. (2018). Brief activation of GABAergic interneurons initiates the transition to ictal events through post-inhibitory rebound excitation. Neurobiology of disease. 109 [PubMed]
Chhabria K, Chakravarthy VS. (2016). Low-Dimensional Models of "Neuro-Glio-Vascular Unit" for Describing Neural Dynamics under Normal and Energy-Starved Conditions. Frontiers in neurology. 7 [PubMed]
Chizhov AV, Zefirov AV, Amakhin DV, Smirnova EY, Zaitsev AV. (2018). Minimal model of interictal and ictal discharges "Epileptor-2". PLoS computational biology. 14 [PubMed]
Craig TJ, Ashcroft FM, Proks P. (2008). How ATP inhibits the open K(ATP) channel. The Journal of general physiology. 132 [PubMed]
Destexhe A. (2009). Self-sustained asynchronous irregular states and Up-Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons. Journal of computational neuroscience. 27 [PubMed]
Devergnas A et al. (2016). Anatomical localization of Cav3.1 calcium channels and electrophysiological effects of T-type calcium channel blockade in the motor thalamus of MPTP-treated monkeys. Journal of neurophysiology. 115 [PubMed]
Ferrante M, Shay CF, Tsuno Y, William Chapman G, Hasselmo ME. (2017). Post-Inhibitory Rebound Spikes in Rat Medial Entorhinal Layer II/III Principal Cells: In Vivo, In Vitro, and Computational Modeling Characterization. Cerebral cortex (New York, N.Y. : 1991). 27 [PubMed]
Forrest MD. (2014). The sodium-potassium pump is an information processing element in brain computation. Frontiers in physiology. 5 [PubMed]
Fourcaud-Trocmé N, Hansel D, van Vreeswijk C, Brunel N. (2003). How spike generation mechanisms determine the neuronal response to fluctuating inputs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]
Goodman DF, Brette R. (2009). The brian simulator. Frontiers in neuroscience. 3 [PubMed]
Grenier F, Timofeev I, Steriade M. (1998). Leading role of thalamic over cortical neurons during postinhibitory rebound excitation. Proceedings of the National Academy of Sciences of the United States of America. 95 [PubMed]
Hasenstaub A, Otte S, Callaway E, Sejnowski TJ. (2010). Metabolic cost as a unifying principle governing neuronal biophysics. Proceedings of the National Academy of Sciences of the United States of America. 107 [PubMed]
Hindmarsh JL, Rose RM. (1984). A model of neuronal bursting using three coupled first order differential equations. Proceedings of the Royal Society of London. Series B, Biological sciences. 221 [PubMed]
Hines ML, Davison AP, Muller E. (2009). NEURON and Python. Frontiers in neuroinformatics. 3 [PubMed]
Howarth C, Gleeson P, Attwell D. (2012). Updated energy budgets for neural computation in the neocortex and cerebellum. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 32 [PubMed]
Izhikevich EM. (2003). Simple model of spiking neurons. IEEE transactions on neural networks. 14 [PubMed]
Jasinski PE, Molkov YI, Shevtsova NA, Smith JC, Rybak IA. (2013). Sodium and calcium mechanisms of rhythmic bursting in excitatory neural networks of the pre-Bötzinger complex: a computational modelling study. The European journal of neuroscience. 37 [PubMed]
Jirsa VK, Stacey WC, Quilichini PP, Ivanov AI, Bernard C. (2014). On the nature of seizure dynamics. Brain : a journal of neurology. 137 [PubMed]
Knowlton C, Kutterer S, Roeper J, Canavier CC. (2018). Calcium dynamics control K-ATP channel-mediated bursting in substantia nigra dopamine neurons: a combined experimental and modeling study. Journal of neurophysiology. 119 [PubMed]
Krishnan GP, Filatov G, Shilnikov A, Bazhenov M. (2015). Electrogenic properties of the Na?/K? ATPase control transitions between normal and pathological brain states. Journal of neurophysiology. 113 [PubMed]
Le Masson G, Przedborski S, Abbott LF. (2014). A computational model of motor neuron degeneration. Neuron. 83 [PubMed]
Loewenstein Y et al. (2005). Bistability of cerebellar Purkinje cells modulated by sensory stimulation. Nature neuroscience. 8 [PubMed]
Luo CH, Rudy Y. (1994). A dynamic model of the cardiac ventricular action potential. I. Simulations of ionic currents and concentration changes. Circulation research. 74 [PubMed]
Mihalaş S, Niebur E. (2009). A generalized linear integrate-and-fire neural model produces diverse spiking behaviors. Neural computation. 21 [PubMed]
Mironov SL. (2007). ADP regulates movements of mitochondria in neurons. Biophysical journal. 92 [PubMed]
Naud R, Marcille N, Clopath C, Gerstner W. (2008). Firing patterns in the adaptive exponential integrate-and-fire model. Biological cybernetics. 99 [PubMed]
Noma A. (1983). ATP-regulated K+ channels in cardiac muscle. Nature. 305 [PubMed]
Pissadaki EK, Bolam JP. (2013). The energy cost of action potential propagation in dopamine neurons: clues to susceptibility in Parkinson's disease. Frontiers in computational neuroscience. 7 [PubMed]
Platkiewicz J, Brette R. (2011). Impact of fast sodium channel inactivation on spike threshold dynamics and synaptic integration. PLoS computational biology. 7 [PubMed]
Plenz D, Kitai ST. (1998). Up and down states in striatal medium spiny neurons simultaneously recorded with spontaneous activity in fast-spiking interneurons studied in cortex-striatum-substantia nigra organotypic cultures. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]
Rubin JE. (2017). Computational models of basal ganglia dysfunction: the dynamics is in the details. Current opinion in neurobiology. 46 [PubMed]
Sengupta B, Stemmler M, Laughlin SB, Niven JE. (2010). Action potential energy efficiency varies among neuron types in vertebrates and invertebrates. PLoS computational biology. 6 [PubMed]
Shay CF, Ferrante M, Chapman GW, Hasselmo ME. (2016). Rebound spiking in layer II medial entorhinal cortex stellate cells: Possible mechanism of grid cell function. Neurobiology of learning and memory. 129 [PubMed]
Steuber V, Schultheiss NW, Silver RA, De Schutter E, Jaeger D. (2011). Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. Journal of computational neuroscience. 30 [PubMed]
Touboul J, Brette R. (2008). Dynamics and bifurcations of the adaptive exponential integrate-and-fire model. Biological cybernetics. 99 [PubMed]
Ullah G, Wei Y, Dahlem MA, Wechselberger M, Schiff SJ. (2015). The Role of Cell Volume in the Dynamics of Seizure, Spreading Depression, and Anoxic Depolarization. PLoS computational biology. 11 [PubMed]
Wei Y, Ullah G, Schiff SJ. (2014). Unification of neuronal spikes, seizures, and spreading depression. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]