| | Models |
| 1. |
A dynamic model of the canine ventricular myocyte (Hund, Rudy 2004)
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| 2. |
A model for recurrent spreading depolarizations (Conte et al. 2017)
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| 3. |
A multiphysics neuron model for cellular volume dynamics (Lee et al. 2011)
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| 4. |
A neuronal circuit simulator for non Monte Carlo analysis of neuronal noise (Kilinc & Demir 2018)
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| 5. |
A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013)
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| 6. |
Alcohol action in a detailed Purkinje neuron model and an efficient simplified model (Forrest 2015)
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| 7. |
An ion-based model for swelling of neurons and astrocytes (Hubel & Ullah 2016)
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| 8. |
Anoxic depolarization, recovery: effect of brain regions and extracellular space (Hubel et al. 2016)
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| 9. |
Basal ganglia-thalamic network model for deep brain stimulation (So et al. 2012)
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| 10. |
ClC-2 channels regulate neuronal excitability, not intracellular Cl- levels (Ratte & Prescott 2011)
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| 11. |
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
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| 12. |
Computational Model of a Central Pattern Generator (Cataldo et al 2006)
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| 13. |
Computational model of bladder small DRG neuron soma (Mandge & Manchanda 2018)
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| 14. |
Concentration dependent nonlinear K+ and Cl- leak current (Huang et al. 2015)
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| 15. |
Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017)
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| 16. |
Dentate gyrus network model pattern separation and granule cell scaling in epilepsy (Yim et al 2015)
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| 17. |
Dopamine neuron of the vent. periaqu. gray and dors. raphe nucleus (vlPAG/DRN) (Dougalis et al 2017)
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| 18. |
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
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| 19. |
Effects of Chloride accumulation and diffusion on GABAergic transmission (Jedlicka et al 2011)
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| 20. |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
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| 21. |
Electrodiffusive astrocytic and extracellular ion concentration dynamics model (Halnes et al. 2013)
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| 22. |
Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016)
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| 23. |
Hippocampal CA1 pyramidal cell demonstrating dynamic mode switching (Berteau & Bullock 2020)
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| 24. |
Hodgkin-Huxley with dynamic ion concentrations (Hubel and Dahlem, 2014)
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| 25. |
KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)
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| 26. |
Learning intrinsic excitability in Medium Spiny Neurons (Scheler 2014)
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| 27. |
Multiple modes of a conditional neural oscillator (Epstein, Marder 1990)
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| 28. |
Multiscale model of olfactory receptor neuron in mouse (Dougherty 2009)
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| 29. |
Olfactory receptor neuron model (Dougherty et al 2005)
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| 30. |
Pipette and membrane patch geometry effects on GABAa currents patch-clamp exps (Moroni et al. 2011)
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| 31. |
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
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| 32. |
Reciprocal regulation of rod and cone synapse by NO (Kourennyi et al 2004)
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| 33. |
Reconstructing cerebellar granule layer evoked LFP using convolution (ReConv) (Diwakar et al. 2011)
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| 34. |
Rhesus Monkey Young and Aged L3 PFC Pyramidal Neurons (Rumbell et al. 2016)
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| 35. |
Rod photoreceptor (Barnes and Hille 1989, Publio et al. 2006, Kourennyi and Liu et al. 2004)
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| 36. |
Signal fidelity in the rostral nucleus of the solitary tract (Boxwell et al 2018)
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| 37. |
Simulated light response in rod photoreceptors (Liu and Kourennyi 2004)
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| 38. |
Simulations of oscillations in piriform cortex (Wilson & Bower 1992)
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| 39. |
Single neuron with ion concentrations to model anoxic depolarization (Zandt et al. 2011)
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| 40. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
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| 41. |
Spreading depression model for FHM3 with Nav1.1 mutation (Dahlem et al. 2014)
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| 42. |
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
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| 43. |
The role of glutamate in neuronal ion homeostasis: spreading depolarization (Hubel et al 2017)
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| 44. |
The ventricular AP and effects of the isoproterenol-induced cardiac hypertrophy (Sengul et al 2020)
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