Data-driven fMRI analysis techniques include independent component analysis (ICA) and different types of clustering in the temporal domain. Since each of these methods has its particular strengths, it is natural to look for an approach that unifies Kohonen's self-organizing map and ICA. This is given by the topographic independent component analysis. While achieved by a slight modification of t...

We propose a nonlinear self-organising network which solely employs computationally simple hebbian and antihebbian learning in approximating a linear independent component analysis (ICA). Current neural architectures and algorithms which perform parallel ICA are either restricted to positively kurtotic data distributions [1] or data which exhibits one sign of kurtosis [2, 3, 12]. We show that t...

the existence of an organization depends on communications and this is an area that managers spend most of their time on. therefore, recognition of communication skills accompanied with its implementation is among the essential parameters of successful management in any organization. in this study we decided to determine the relationship between managers' communication skills and health of orga...

The organization of individual respiratory chain complexes into supercomplexes or respirasomes has attracted great interest because of the implications for cellular energy conversion. Recently, it was reported that commonly used mouse strains harbor a short COX7a2l (SCAFI) gene isoform that supposedly precludes the formation of complex IV-containing supercomplexes. This claim potentially has se...