Biology – Quantitative Biology – Neurons and Cognition
Scientific paper
2010-01-04
Biology
Quantitative Biology
Neurons and Cognition
PDFLatex 7 A4 pages, 4 figures. New method to estimate the neuronal phase-response curve
Scientific paper
Regular firing neurons can be seen as oscillators. The phase-response curve (PRC) describes how such neurons will respond to small excitatory perturbations. Knowledge of the PRC is important as it is associated to the excitability type of neurons and their capability to synchronize in networks. In this work we present a novel method to estimate the PRC from experimental data. We assume that continuous noise signal can be discretized into independent perturbations at evenly spaced phases and predict the next spike based on these independent perturbations. The difference between the predicted next spike made at every discretized phase and the actual next spike time is used as the error signal used to optimize the PRC. We test our method on model data and experimentally obtained data and find that the newly developed method is robust and reliable method for the estimation of PRCs from experimental data.
Stiefel Klaus M.
Torben-Nielsen Benjamin
Uusisaari Marylka
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