Lubba CH et al. (2019). PyPNS: Multiscale Simulation of a Peripheral Nerve in Python. Neuroinformatics. 17 [PubMed]

See more from authors: Lubba CH · Le Guen Y · Jarvis S · Jones NS · Cork SC · Eftekhar A · Schultz SR

References and models cited by this paper

Agudelo-Toro A, Neef A. (2013). Computationally efficient simulation of electrical activity at cell membranes interacting with self-generated and externally imposed electric fields. Journal of neural engineering. 10 [PubMed]

Birmingham K et al. (2014). Bioelectronic medicines: a research roadmap. Nature reviews. Drug discovery. 13 [PubMed]

Bokil H, Laaris N, Blinder K, Ennis M, Keller A. (2001). Ephaptic interactions in the mammalian olfactory system. The Journal of neuroscience : the official journal of the Society for Neuroscience. 21 [PubMed]

Bossetti CA, Birdno MJ, Grill WM. (2008). Analysis of the quasi-static approximation for calculating potentials generated by neural stimulation. Journal of neural engineering. 5 [PubMed]

Bédard C, Destexhe A. (2009). Macroscopic models of local field potentials and the apparent 1/f noise in brain activity. Biophysical journal. 96 [PubMed]

Cantrell DR, Inayat S, Taflove A, Ruoff RS, Troy JB. (2008). Incorporation of the electrode-electrolyte interface into finite-element models of metal microelectrodes. Journal of neural engineering. 5 [PubMed]

Capogrosso M et al. (2013). A computational model for epidural electrical stimulation of spinal sensorimotor circuits. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

Gabriel C, Gabriel S, Corthout E. (1996). The dielectric properties of biological tissues: I. Literature survey. Physics in medicine and biology. 41 [PubMed]

Goto T et al. (2010). An evaluation of the conductivity profile in the somatosensory barrel cortex of Wistar rats. Journal of neurophysiology. 104 [PubMed]

Grinberg Y, Schiefer MA, Tyler DJ, Gustafson KJ. (2008). Fascicular perineurium thickness, size, and position affect model predictions of neural excitation. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 16 [PubMed]

HODGKIN AL, HUXLEY AF. (1952). A quantitative description of membrane current and its application to conduction and excitation in nerve. The Journal of physiology. 117 [PubMed]

Halnes G et al. (2016). Effect of Ionic Diffusion on Extracellular Potentials in Neural Tissue. PLoS computational biology. 12 [PubMed]

Hines ML, Carnevale NT. (1997). The NEURON simulation environment. Neural computation. 9 [PubMed]

Hines ML, Davison AP, Muller E. (2009). NEURON and Python. Frontiers in neuroinformatics. 3 [PubMed]

Holt GR, Koch C. (1999). Electrical interactions via the extracellular potential near cell bodies. Journal of computational neuroscience. 6 [PubMed]

Lempka SF, McIntyre CC. (2013). Theoretical analysis of the local field potential in deep brain stimulation applications. PloS one. 8 [PubMed]

Lindén H et al. (2013). LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons. Frontiers in neuroinformatics. 7 [PubMed]

McIntyre CC, Grill WM. (2001). Finite element analysis of the current-density and electric field generated by metal microelectrodes. Annals of biomedical engineering. 29 [PubMed]

McIntyre CC, Richardson AG, Grill WM. (2002). Modeling the excitability of mammalian nerve fibers: influence of afterpotentials on the recovery cycle. Journal of neurophysiology. 87 [PubMed]

McNeal DR. (1976). Analysis of a model for excitation of myelinated nerve. IEEE transactions on bio-medical engineering. 23 [PubMed]

Ness TV et al. (2015). Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs). Neuroinformatics. 13 [PubMed]

Nicholson C, Freeman JA. (1975). Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum. Journal of neurophysiology. 38 [PubMed]

Pods J. (2017). A comparison of computational models for the extracellular potential of neurons. Journal of integrative neuroscience. 16 [PubMed]

Pods J, Schönke J, Bastian P. (2013). Electrodiffusion models of neurons and extracellular space using the Poisson-Nernst-Planck equations--numerical simulation of the intra- and extracellular potential for an axon model. Biophysical journal. 105 [PubMed]

Poliak S, Peles E. (2003). The local differentiation of myelinated axons at nodes of Ranvier. Nature reviews. Neuroscience. 4 [PubMed]

Prechtl JC, Powley TL. (1990). The fiber composition of the abdominal vagus of the rat. Anatomy and embryology. 181 [PubMed]

Röper J, Schwarz JR. (1989). Heterogeneous distribution of fast and slow potassium channels in myelinated rat nerve fibres. The Journal of physiology. 416 [PubMed]

Sundt D, Gamper N, Jaffe DB. (2015). Spike propagation through the dorsal root ganglia in an unmyelinated sensory neuron: a modeling study. Journal of neurophysiology. 114 [PubMed]

Tveito A et al. (2017). An Evaluation of the Accuracy of Classical Models for Computing the Membrane Potential and Extracellular Potential for Neurons. Frontiers in computational neuroscience. 11 [PubMed]

Waxman SG. (1980). Determinants of conduction velocity in myelinated nerve fibers. Muscle & nerve. 3 [PubMed]

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Capllonch-Juan M, Sepulveda F. (2020). Modelling the effects of ephaptic coupling on selectivity and response patterns during artificial stimulation of peripheral nerves. PLoS computational biology. 16 [PubMed]

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