We propose a general Bayesian framework for performing independent component analysis (leA) which relies on ensemble learning and linear response theory known from statistical physics. We apply it to both discrete and continuous sources. For the continuous source the underdetermined (overcomplete) case is studied. The naive mean-field approach fails in this case whereas linear response theory-w...

the present study aimed to examine throwing accuracy and spatial and digit working memory of field dependent-independent participants. the group embedded figure test (geft) was distributed among 320 male students and based on the geft scores, 45 participants were randomly divided into field dependent, field independent and control group (15 participants/each group). the study included two tasks...