A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
We present a peripheral nerve simulator that combines biophysical axon models and numerically solved and idealised extracellular space models in one environment. ... Bioelectronic Medicines that modulate the activity patterns on peripheral nerves have promise as a new way of treating diverse medical conditions from epilepsy to rheumatism. ... PyPNS Overview Every PyPNS simulation describes one peripheral nerve consisting of an arbitrary number of unmyelinated and myelinated axons, each with a certain diameter and trajectory. ...doi:10.1007/s12021-018-9383-z pmid:29948844 fatcat:z5g7sb6dl5ggpec37hpzdvzoye
In particular, we evaluate different nerve cell models considering different ion channels present in neurons and provide a guideline on multiscale numerical simulations of electrical nerve fibers stimulation ... stimulation by implanted electrodes in peripheral nerve fibers. ... A peripheral nerves simulator (PyPNS) was recently developed in Python by Lubba et al.  . In this computational model unmyelinated and myelinated fibers are considered. ...doi:10.1109/tnsre.2021.3054551 pmid:33497336 fatcat:p3fodu42rjalzprweyxqgcido4
Coming from a different direction of more general time-series analysis, we embedded a set of peripheral nerve recordings in a space of main firing characteristics by dimensionality reduction in a high-dimensional ... We here explore ways of creating nerve-based feedback for the implanted systems to act in a dynamically adapting closed loop. ... Lubba, CH, Le Guen, Y, Jarvis, S, Jones, N S, Cork, S C, Eftekhar, A, Schultz, SR (2018). PyPNS: Multiscale simulation of a peripheral nerve in Python. Neuroinformatics, 17(1), pp. 63-81. ...doi:10.25560/80541 fatcat:c7rco6jgkjhk7petsnkuscrz2m