Electrophysiological characterization of striatalneurons through dynamic I-V curves
Year: 2013
Type: dissertation
Abstract: Dynamic I-V curves constitute a naturalistic approach to electrophysiological neuronal characterization. Instead of analyzing a cells response to simple current injections and waiting for the cell membrane to stabilize, a dynamic I-V curve is generated by injecting a more naturalistic, dynamic input and analyzing the membrane response over a prolonged period of time. While this data is inherently noisy, it can be averaged out over longer recordings to produce accurate and detailed information on the current-voltage relationship of the cell membrane. For a number of different striatal neurons, a comparison is made between membrane properties as determined through conventional methods, and those same parameters extracted from the dynamic I-V curve. These are not always in agreement, although for some parameters like the membrane resistance and capacitance, the correlation is strong enough to be statistically significant. Furthermore, the dynamic I-V curve allows estimation of membrane resistance over a wide voltage range, unlike the traditional method, yielding a better insight in the summed opening and closing of voltage-gated ion channels. When these extracted parameters are then applied in a refractory Exponential Integrate and Fire model, the model is able to accurately mimic the response of the real neuron with minimal computational complexity.
Author: Matthijs C. Dorst
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W638729164