Non-linear canonical correlation for joint analysis of MEG signals from two subjects

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Non-linear canonical correlation for joint analysis of MEG signals from two subjects

Traditional stimulus-based analysis methods of magnetoencephalography (MEG) data are often dissatisfactory when applied to naturalistic experiments where two or more subjects are measured either simultaneously or sequentially. To uncover the commonalities in the brain activity of the two subjects, we propose a method that searches for linear transformations that output maximally correlated sign...

متن کامل

Non-linear Canonical Correlation Analysis using a RBF networks

A non-linear version of the multivariate statistical technique of canonical correlation analysis (CCA) is proposed through the integration of a radial basis function (RBF) network. The advantage of the RBF network is that the solution of linear CCA can be used to train the network and hence the training effort is minimal. Also the canonical variables can be extracted simultaneously. It is shown...

متن کامل

Non-Linear Canonical Correlation Analysis Using Alpha-Beta Divergence

We propose a generalized method of the canonical correlation analysis using Alpha-Beta divergence, called AB-canonical analysis (ABCA). From observations of two random variables, x ∈ R and y ∈ R, ABCA finds directions, wx ∈ R and wy ∈ R, such that the AB-divergence between the joint distribution of (w xx,w T y y) and the product of their marginal distributions is maximized. The number of signif...

متن کامل

Non-linear Parameter Estimates from Non-stationary MEG Data

We demonstrate a method to estimate key electrophysiological parameters from resting state data. In this paper, we focus on the estimation of head-position parameters. The recovery of these parameters is especially challenging as they are non-linearly related to the measured field. In order to do this we use an empirical Bayesian scheme to estimate the cortical current distribution due to a ran...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Frontiers in Neuroscience

سال: 2013

ISSN: 1662-453X

DOI: 10.3389/fnins.2013.00107