Abstract
Nonparametric system modeling constitutes a robust method for the analysis of physiological systems as it can be used to identify nonlinear dynamic input–output relationships and facilitate their description. First- and second-order kernels of hippocampal CA3 pyramidal neurons in an in vitro slice preparation were computed using the Volterra–Wiener approach to investigate system changes associated with epileptogenic low-magnesium/high-potassium (low-Mg2 + /high-K + ) conditions. The principal dynamic modes (PDMs) of neurons were calculated from the first- and second-order kernel estimates in order to characterize changes in neural coding functionality. From our analysis, an increase in nonlinear properties was observed in kernels under low-Mg2 + /high-K + . Furthermore, the PDMs revealed that the sampled hippocampal CA3 neurons were primarily of integrating character and that the contribution of a differentiating mode component was enhanced under low-Mg2 + /high-K + .
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Kang, E.E., Zalay, O.C., Cotic, M. et al. Transformation of neuronal modes associated with low-Mg2 + /high-K + conditions in an in vitro model of epilepsy. J Biol Phys 36, 95–107 (2010). https://doi.org/10.1007/s10867-009-9144-1
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DOI: https://doi.org/10.1007/s10867-009-9144-1