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Parameter estimation in the stochastic Morris-Lecar neuronal model with particle filter methods
Parameter estimatio stochastic Morris-Lecar neuronal mode particle filter methods
2012/9/19
In this paper, we consider the classic measurement error regression scenario in which our independent,or design, variables are observed with several sources of additive noise. We will show that our mo...
Bayesian Modelling and Analysis of Spatio-Temporal Neuronal Networks
hierarchical models shrinkage priors Bayesian model selection multiple spike trains analysis multi-electrode arrays
2009/9/21
This paper illustrates a novel hierarchical dynamic Bayesian network
modelling the spiking patterns of neuronal ensembles over time. We introduce,
at separate model stages, the parameters characteri...
Decomposition of neuronal assembly activity via empirical de-Poissonization
asymptotics compound Poisson process empirical characteristic function higher-order interactions jump measure
2009/9/16
Consider a compound Poisson process with jump measure $nu$ supported by finitely many positive integers. We propose a method for estimating $nu$ from a single, equidistantly sampled trajectory and dev...
Statistical Inference of Functional Connectivity in Neuronal Networks using Frequent Episodes
event sequences spike trains multi-electrode array microcircuits temporal data mining frequentepisodes
2010/3/18
Identifying the spatio-temporal network structure of brain activity from multi-neuronal data streams is one of the biggest challenges in neuroscience. Repeating patterns of precisely timed activity ac...