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A single differential equation description of membrane properties underlying the action potential and the axon electric field

cable theory to describe signal transmission in the membrane of an axon [ 12 , 13 , 14 , 15 , 16 ]. In classic cable theory, axons are treated as core conducting cylinders of finite length, where the capacitive and conductance properties of the axon membrane are modeled as a distributed-parameter electrical network [ 17 , 18 ]. Consequently, quantitative determination of the membrane action potential and ionic currents requires solving a boundary-value problem. This approach provides a systematic means for realistically describing the action potential and the

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Evidence for quantized magnetic flux in an axon

§107 of the Copyright Act of 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Nonprofit, educational (i.e., teaching, scholarship, and research) or personal use tips the balance in favor of fair use. I Scope of this Article To present evidence that the natural constant magnetic flux quantum Φ 0 [ 4 , 5 ] is built-into the fabric of the action potential as per my recently published model [ 1

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Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques

. McKeown, M. J., Radtke, R. (2001). Phasic and tonic coupling between EEG and EMG demonstrated with independent component analysis. J. Clin. Neurophysiol. , 18 (1), 45-57. Nakamura, H., Yoshida, M., Kotani, M., Akazawa, K., Moritani, T. (2004). The application of independent component analysis to the multichannel surface electromyographic signals for separation of motor unit action potential trains. J. Electromyogr. Kinesiol. , 14 (4), 423-432. Peleg, D., Braiman, E., Yom-Tov, E., Inbar, G. F. (2002). Classification

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A modified van der Pol equation with delay in a description of the heart action

Abstract

In this paper, a modified van der Pol equation is considered as a description of the heart action. This model has a number of interesting properties allowing reconstruction of phenomena observed in physiological experiments as well as in Holter electrocardiographic recordings. Our aim is to study periodic solutions of the modified van der Pol equation and take into consideration the influence of feedback and delay which occur in the normal heart action mode as well as in pathological modes. Usage of certain values for feedback and delay parameters allows simulating the heart action when an accessory conducting pathway is present (Wolff-Parkinson-White syndrome).

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Computer modeling of hippocampal CA1 pyramidal cells - a tool for in silico experiments

:94-101. 12. Carnevale NT, Hines ML. The NEURON Book: Cambridge University Press; 2006. 13. What is NEURON? 2014 [accessed on 2014.11.10]; Available from: http://www.neuron.yale.edu/neuron/what_is_neuron. 14. Royeck M, Horstmann MT, Remy S et al. Role of axonal NaV1.6 sodium channels in action potential initiation of CA1 pyramidal neurons. J Neurophysiol. 2008; 100(4):2361-2380. 15. Shah MM, Migliore M, Valencia I et al. Functional significance of axonal Kv7 channels in hippocampal pyramidal neurons. Proc Natl Acad Sci U S A

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Axonal excitability and conduction alterations caused by levobupivacaine in rat

compound action potential in frog sciatic nerves: comparison with those of local anesthetics, Biomed. Res. Int. 2014 (2014) 540238; DOI: 10.1155/2014/540238. 15. C. J. Sinnott and G. R. Strichartz, Levobupivacaine versus ropivacaine for sciatic nerve block in the rat, Reg.Anesth. Pain Med. 28 (2003) 294–303; DOI: 10.1016/S1098-7339(03)00188-3. 16. H. Bariskaner, M. Ayaz, F. B. Guney, N. Dalkilic and O. Guney, Bupivacaine and ropivacaine: comparative effects on nerve conduction block, Methods Find. Exp. Clin. Pharmacol. 29 (2007) 337–341; DOI: 10

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Simplified 2D Bidomain Model of Whole Heart Electrical Activity and ECG Generation

International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 908-911. [16] Rogers, J.M., McCulloch, A.D. (1994). A collocation- Galerkin finite element model of cardiac action potential propagation. IEEE Transactions on Biomedical Engineering, 41, 743-757. [17] Petra, N., Gobbert, K.M. (2009). Parallel performance studies for COMSOL multiphysics using scripting and batch processing. In Proceedings of the COMSOL Conference 2009 Boston. [18] Janse, M.J. (1997). Why does atrial fibrillation occur

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Computational modeling of the electromechanical response of a ventricular fiber affected by eccentric hypertrophy

. 590, pp. 4553-4569, 2012. 26. G. M. Faber and Y. Rudy, Action potential and contractility changes in [Na+]i overloaded cardiac myocytes: a simulation study, Biophys. J., vol. 78, pp. 2392-2404, 2000. 27. P. Colli Franzone, L. F. Pavarino, and B. Taccardi, Simulating patterns of excitation, repolarization and action potential duration with cardiac bidomain and monodomain models, Math. Biosci., vol. 197, pp. 35-66, 2005. 28. P. Colli Franzone, L. F. Pavarino, and S. Scacchi, Mathematical Cardiac Electrophysiology. Cham

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Regulation of Cough by Voltage-Gated Sodium Channels in Airway Sensory Nerves

H, Herbstsomer RA, Ru F, Kocmalova M, Meeker SN, Undem BJ. Different role of TTX-sensitive voltage-gated sodium channel (NaV 1) subtypes in action potential initiation and conduction in vagal airway nociceptors. J Physiol 2018; 596 (8): 1419-1432. 5. Mazzone SB, Undem BJ. Vagal Afferent Innervation of the Airways in Health and Disease. Physiol Rev 2016; 96 (3): 975-1024. 6. Baker CV. The embryology of vagal sensory neurons. In: Advances in Vagal Afferent Neurobiology, Undem BJ, Weinreich D, editors. Boca Raton, FL: CRC; 2005. p. 3–26. 7

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Susceptibility of Diabetic Heart to Catecholamine-induced Arrhythmias is Independent of Contractile Dysfunction

S, Aomine M, Arita M, Ito S, Takaki R. Chronic diabetes mellitus prolongs action potential duration of rat ventricular muscles: circumstantial evidence for impaired Ca2+ channel. Cardiovasc Res 1990; 24: 381-9. 8. Casis O, Gallego M, Iriarte M, Sanchez-Chapula A. Effects of diabetic cardiomyopathy on regional electrophysiologic characteristics of rat ventricle. Diabetologia 2000; 43: 101-9. 9. Shimoni Y, Chen K, Emmett T, Kargacin G. Aldosterone and the autocrine modulation of potassium currents and oxidative stress in the diabetic

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