Establishing relationships among brain structures and cognitive functions is a central task in cognitive neuroscience. Existing methods to establish associations among a set of function variables and a set of brain regions, such as dissociation logic and conjunction analysis, are hypothesis-driven. We propose a new data-driven approach to structure-function association analysis. We validated it...

Image registration is one of the most common research areas in medical image processing. It is required for example for image fusion, motion estimation, patient positioning, or generation of medical atlases. In most intensity-based registration approaches, parameters have to be determined, most commonly a parameter indicating to which extend the transformation is required to be smooth. Its opti...

Progress in modern neuroscience critically depends on our ability to observe the activity of large neuronal populations with cellular spatial and high temporal resolution. However, two bottlenecks constrain efforts towards fast imaging of large populations. First, the resulting large video data is challenging to analyze. Second, there is an explicit tradeoff between imaging speed, signal-to-noi...

Bilinear models of count data with Poisson distribution are popular in applications such as matrix factorization for recommendation systems, modeling of receptive fields of sensory neurons, and modeling of neural-spike trains. Bayesian inference in such models remains challenging due to the product term of two Gaussian random vectors. In this paper, we propose new algorithms for such models bas...

This paper proposes a new multi-scale energy minimization algorithm which can be used to efficiently solve large scale labelling problems in computer vision. The basic modus operandi of any multi-scale method involves the construction of a smaller problem which can be solved efficiently. The solution of this problem is used to obtain a partial labelling of the original energy function, which in...

background: dietary approaches to stop hypertension (dash) eating plan is a healthy dietary pattern. our object is to review surveys in the field of major components of dash diet and different kinds of cancers. materials and methods: our search result from pubmed search engine recruited to find related articles. results: adherence to the dash diet components was significantly related to lower p...

It is becoming increasingly accepted that some form of anticipation is central to the functioning of the brain. But modeling such anticipation has been in several forms concerning what is anticipated, whether and how such ‘anticipation’ can be normative in the sense of possibly being wrong, the nature of the anticipatory processes and how they are realized in the brain, etc. Here I outline two ...

Intertidal mudflats play a critical role in estuarine exchange, connecting marine and continental supplies of nutrients and sediments. However, their complex morphodynamics, associated with a wide range of physical and biological processes, are still poorly understood and require further field investigation. In addition, mudflats are challenging areas for Structure-from-Motion (SfM) photogramme...

Policy makers should consider improving access to treatments normally considered outside of healthcare in the west, particularly given the recent WHO strategy. However, research on integrating traditional and complementary medicines (T&CM) into conventional health care is lacking. T& CM approaches, may provide a cost effective option given the increase in chronic diseases with evidence of effec...

This paper shows an application of Bayesian Programming to model a simple artificial life problem: that of a worm trying to live in a world full of poison. Any model of a real phenomenon is incomplete because there will always exist unknown, hidden variables that influence the phenomenon. To solve this problem we apply a new formalism, Bayesian programming, which has previously been used in aut...