Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron

@inproceedings{Kobayashi2011EstimatingTI,
  title={Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron},
  author={Ryota Kobayashi and Yasuhiro Tsubo and Petr L{\'a}nsk{\'y} and Shigeru Shinomoto},
  booktitle={NIPS},
  year={2011}
}
State-of-the-art statistical methods in neuroscience have enabled us to fit mathematical models to experimental data and subsequently to infer the dynamics of hidden parameters underlying the observable phenomena. Here, we develop a Bayesian method for inferring the time-varying mean and variance of the synaptic input, along with the dynamics of each ion channel from a single voltage trace of a neuron. An estimation problem may be formulated on the basis of the state-space model with prior… CONTINUE READING
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