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EURASIP Journal on Advances in Signal Processing
Fig. 5 | EURASIP Journal on Advances in Signal Processing

Fig. 5

From: Sequential estimation of intrinsic activity and synaptic input in single neurons by particle filtering with optimal importance density

Fig. 5

Realizations of the PMCMC algorithm for joint state-parameter estimation. Each panel corresponds to different unknown parameters, see Table 2. Particularly, we show the results when estimating (a) Calcium maximal conductance, (b) Potassium maximal conductance, (c) both Calcium and Potassium maximal conductances, (d) process noise variance, (e) measurement noise variance, and (f) Calcium and Potassium maximal conductances plus process noise variance. Each panel features the MCMC iterations (top) that converge to the true value of the parameter and the filtered voltage trace (bottom)

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