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1.
Phys Rev Lett ; 99(7): 076603, 2007 Aug 17.
Article in English | MEDLINE | ID: mdl-17930912

ABSTRACT

We investigate the spin-orbit (SO) interaction in two-dimensional electron gases in quantum wells with two subbands. From the 8x8 Kane model, we derive a new intersubband-induced SO term which resembles the functional form of the Rashba SO but is nonzero even in symmetric structures. This follows from the distinct parity of the confined states (even or odd) which obliterates the need for asymmetric potentials. We self-consistently calculate the new SO coupling strength for realistic wells and find it comparable to the usual Rashba constant. Our new SO term gives rise to a nonzero ballistic spin-Hall conductivity, which changes sign as a function of the Fermi energy (epsilonF) and can induce an unusual Zitterbewegung with cycloidal trajectories without magnetic fields.

2.
Phys Rev E Stat Nonlin Soft Matter Phys ; 67(6 Pt 1): 061910, 2003 Jun.
Article in English | MEDLINE | ID: mdl-16241264

ABSTRACT

This work presents a procedure to extract morphological information from neuronal cells based on the variation of shape functionals as the cell geometry undergoes a dilation through a wide interval of spatial scales. The targeted shapes are alpha and beta cat retinal ganglion cells, which are characterized by different ranges of dendritic field diameter. Image functionals are expected to act as descriptors of the shape, gathering relevant geometric and topological features of the complex cell form. We present a comparative study of classification performance of additive shape descriptors, namely, Minkowski functionals, and the nonadditive multiscale fractal. We found that the proposed measures perform efficiently the task of identifying the two main classes alpha and beta based solely on scale invariant information, while also providing intraclass morphological assessment.


Subject(s)
Biophysics/methods , Neurons/metabolism , Retinal Ganglion Cells/ultrastructure , Animals , Cats , Dendritic Cells/pathology , Fractals , Image Processing, Computer-Assisted , Models, Statistical , Neurons/physiology
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