IEEE/ACM Transactions on Computational Biology and Bioinformatics · 2019 · 13 citations · 12 references
Life SciencesNeurobiologyNeuroscienceComputational NeuroscienceNeurophysiologySystems NeuroscienceBiophysical Neuron ModelingNeural Circuit DynamicsNeural Circuit ModelingNeural CommunicationSynaptic ConnectivitySynaptic TransmissionAxon Propagation ModelingAxon TractsAxon-glia InteractionsEphaptic CouplingInterneuron ConnectivityNeuron Coupling
The study of axon tracts is important in neurophysiology. In this paper, we study axon tracts with arbitrary geometry and present a governing equation for ephaptic coupling among the constituent axons. We derive this equation and simulate it, obtaining a novel, geometry-dependent, delayed coupling phenomenon. This has relevance for how an axon tract communicates data in a neurological network.
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