A convex optimization framework for global tractography

In this article we present a novel approach for diffusion MRI global tractography. Our formulation models the signal in each voxel as a linear combination of fiber-tract basis func- tions, which consist of a comprehensive set of plausible fiber tracts that are locally compatible with the measured MR signal. This large dictionary of candidate fibers is directly estimated from the data and, subsequently, efficient convex optimization techniques are used for recovering the smallest subset globally best fitting the measured signal. Experimen- tal results conducted on a realistic phantom demonstrate that our approach significantly reduces the computational cost of global tractography while still attaining a reconstruction quality at least as good as the state-of-the-art global methods.

Epistemological tensions between linguistic description and ordinary speakers' intuitive knowledge: examples from French verb morphology

In this article, I address epistemological questions regarding the status of linguistic rules and the pervasive--though seldom discussed--tension that arises between theory-driven object perception by linguists on the one hand, and ordinary speakers' possible intuitive knowledge on the other hand. Several issues will be discussed using examples from French verb morphology, based on the 6500 verbs from Le Petit Robert dictionary (2013).