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Recovering quasi-active properties of dendritic neurons from dual potential recordings
1Department of Computational and Applied Mathematics, Rice University, 6100 Main St., Houston, TX 77005, USA. cox@caam.rice.edu
Journal of Computational Neuroscience
|November 22, 2001
Abstract:
We develop the theory and accompanying algorithm for the recovery of a dendritic neuron's cytoplasmic resistivity, membrane capacitance, leakage conductance, and two maximal channel conductances from weighted averages of simultaneous recordings of somatic and dendritic potential following a somatic current stimulus. We test our results on two model systems with distinct, though prescribed, channel kinetics and branching patterns.