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Showing 1 to 2 of 2 for “"State-space filtering"”.

  1. State-Space Models and Latent Processes in the Statistical Analysis of Neural Data

    … on sequential Monte Carlo techniques ("particle filtering"). We demonstrate, on model data, that these methods can recover the time course of excitatory and inhibitory synaptic inputs accurately on a single trial. In the fourth chapter we develop a more general approach to the state-space

    columbia-diss Repository record for State-Space Models and Latent Processes in the Statistical Analysis of Neural Data (opens in a new tab)