Estimating latent neuronal nonlinear dynamics by sequential Monte Carlo method and sparse modeling
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Understanding complex neuronal behavior in our brain requires accurate estimation of neuronal models from observed time-series data. In this study, we propose a data-driven sparse modeling method to estimate multi-dimensional latent variables and electrical pr... ...
