Statistical analysis of neural data: The expectation-maximization (EM) algorithm, mixture models, and applications to spike sorting

اسناد مشابه

• Kalman filter mixture model for spike sorting of non-stationary data.

  سند علمی۲۰۱۱Journal of neuroscience methodsAna Calabrese, Liam Paninski

  Nonstationarity in extracellular recordings can present a major problem during in vivo experiments. In this paper we present automatic methods for tracking time-varying spike shapes. Our algorithm is based on a computationally efficient Kalman filter model; the recursive nature o

• Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval

  سند علمی۱۹۹۸ICCVSerge J. Belongie, Chad Carson, Hayit Greenspan, Jitendra Malik

  Retrieving images from large and varied collections using image content as a key is a challenging and importantproblem. In this paper we present a new image representation which provides a transformation from the raw pixel data to a small set of image regions which are coherent i

• Automatic seed initialization for the expectation-maximization algorithm and its application in 3D medical imaging.

  سند علمی۲۰۰۷Journal of medical engineering & technologyM Lynch, D Ilea, K Robinson, O Ghita

  Statistical partitioning of images into meaningful areas is the goal of all region-based segmentation algorithms. The clustering or creation of these meaningful partitions can be achieved in number of ways but in most cases it is achieved through the minimization or maximization

• A quantile variant of the expectation–maximization algorithm and its application to parameter estimation with interval data

  مقاله‌ی دسترسی آزاد۲۰۱۸Journal of Algorithms & Computational TechnologyChanseokPark

• Automatic seed initialization for the expectation-maximization algorithm and its application in 3D medical imaging

  مقاله‌ی دسترسی آزاد۲۰۰۷Journal of Medical Engineering & TechnologyM.Lynch, D.Ilea, K.Robinson, O.Ghita

• An Expectation Maximization Algorithm to Model Failure Times by Continuous-Time Markov Chains

  مقاله‌ی دسترسی آزاد۲۰۱۰Mathematical Problems in EngineeringQihongDuan, ZhipingChen, DengfuZhao