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• Ion concentration dynamics as a mechanism for neuronal bursting (Barreto & Cressman 2011) [Model]

Buchin A, Chizhov A, Huberfeld G, Miles R, Gutkin BS. (2016). Reduced Efficacy of the KCC2 Cotransporter Promotes Epileptic Oscillations in a Subiculum Network Model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 36 [PubMed]

• Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016) [Model]

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]

• Minimal model of interictal and ictal discharges “Epileptor-2” (Chizhov et al 2018) [Model]

Cressman JR, Ullah G, Ziburkus J, Schiff SJ, Barreto E. (2009). The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: I. Single neuron dynamics. Journal of computational neuroscience. 26 [PubMed]

• Single neuron with dynamic ion concentrations (Cressman et al. 2009) [Model]

Doyon N et al. (2011). Efficacy of synaptic inhibition depends on multiple, dynamically interacting mechanisms implicated in chloride homeostasis. PLoS computational biology. 7 [PubMed]

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]

Gentiletti D, Suffczynski P, Gnatkovsky V, de Curtis M. (2017). Changes of Ionic Concentrations During Seizure Transitions - A Modeling Study. International journal of neural systems. 27 [PubMed]

• Changes of ionic concentrations during seizure transitions (Gentiletti et al. 2016) [Model]

Golomb D, Yue C, Yaari Y. (2006). Contribution of persistent Na+ current and M-type K+ current to somatic bursting in CA1 pyramidal cells: combined experimental and modeling study. Journal of neurophysiology. 96 [PubMed]

• CA1 pyramidal cell: I_NaP and I_M contributions to somatic bursting (Golomb et al 2006) [Model]

Hübel N, Andrew RD, Ullah G. (2016). Large extracellular space leads to neuronal susceptibility to ischemic injury in a Na+/K+ pumps-dependent manner. Journal of computational neuroscience. 40 [PubMed]

• Anoxic depolarization, recovery: effect of brain regions and extracellular space (Hubel et al. 2016) [Model]

Hübel N, Dahlem MA. (2014). Dynamics from seconds to hours in Hodgkin-Huxley model with time-dependent ion concentrations and buffer reservoirs. PLoS computational biology. 10 [PubMed]

• Hodgkin-Huxley with dynamic ion concentrations (Hubel and Dahlem, 2014) [Model]

Kager H, Wadman WJ, Somjen GG. (2007). Seizure-like afterdischarges simulated in a model neuron. Journal of computational neuroscience. 22 [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]

• Single cell model with variable ion concentrations and Na+/K+ ATPase (Krishnan et al. 2015) [Model]

Lewin N, Aksay E, Clancy CE. (2012). Computational modeling reveals dendritic origins of GABA(A)-mediated excitation in CA1 pyramidal neurons. PloS one. 7 [PubMed]

• Paradoxical GABA-mediated excitation (Lewin et al. 2012) [Model]

Naze S, Bernard C, Jirsa V. (2015). Computational modeling of seizure dynamics using coupled neuronal networks: factors shaping epileptiform activity. PLoS computational biology. 11 [PubMed]

• Multiscale modeling of epileptic seizures (Naze et al. 2015) [Model]

Newton AJH, McDougal RA, Hines ML, Lytton WW. (2018). Using NEURON for Reaction-Diffusion Modeling of Extracellular Dynamics. Frontiers in neuroinformatics. 12 [PubMed]

• Using NEURON for reaction-diffusion modeling of extracellular dynamics (Newton et al 2018) [Model]

Sudhakar SK, Choi TJ, Ahmed OJ. (2019). Biophysical Modeling Suggests Optimal Drug Combinations for Improving the Efficacy of GABA Agonists after Traumatic Brain Injuries. Journal of neurotrauma. 36 [PubMed]

• Biophysical modeling of pathological brain states (Sudhakar et al 2019) [Model]

Truccolo W, Ho EC. (2016). Interaction between Synaptic Inhibition and Glial-Potassium Dynamics leads to Diverse Seizure Transition Modes in Biophysical Models of Human Focal Seizures J Comput Neurosci.

• Inhibition and glial-K+ interaction leads to diverse seizure transition modes (Ho & Truccolo 2016) [Model]

Ullah G, Cressman JR, Barreto E, Schiff SJ. (2009). The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states. II. Network and glial dynamics. Journal of computational neuroscience. 26 [PubMed]

• Network model with dynamic ion concentrations (Ullah et al. 2009) [Model]

van Drongelen W et al. (2006). Role of persistent sodium current in bursting activity of mouse neocortical networks in vitro. Journal of neurophysiology. 96 [PubMed]

Øyehaug L, Østby I, Lloyd CM, Omholt SW, Einevoll GT. (2012). Dependence of spontaneous neuronal firing and depolarisation block on astroglial membrane transport mechanisms. Journal of computational neuroscience. 32 [PubMed]

• Dependence of neuronal firing on astroglial membrane transport mechanisms (Oyehaug et al 2012) [Model]