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]

See more from authors: Tveito A · Jæger KH · Lines GT · Paszkowski Ł · Sundnes J · Edwards AG · Māki-Marttunen T · Halnes G · Einevoll GT

References and models cited by this paper
References and models that cite this paper

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]

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

Mäki-Marttunen T et al. (2019). Alterations in Schizophrenia-Associated Genes Can Lead to Increased Power in Delta Oscillations. Cerebral cortex (New York, N.Y. : 1991). 29 [PubMed]

Solbrå A et al. (2018). A Kirchhoff-Nernst-Planck framework for modeling large scale extracellular electrodiffusion surrounding morphologically detailed neurons. PLoS computational biology. 14 [PubMed]

Sætra MJ, Einevoll GT, Halnes G. (2021). An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain PLoS computational biology. 17 [PubMed]

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