spike sorting is a class of techniques used in the analysis of electrophysiological data. studying the dynamics of neural activity via electrical recording relies on the ability to detect and sort neural spikes recorded from a number of neurons by the same electrode. this article reviews methods for detecting and classifying action potentials, a problem commonly referred to as spike sorting.

Medical imaging is placing a major role in diagnosing the diseases and in image guided surgery. There are various imaging modalities for different applications giving the anatomical and physiological conditions of the patient. Magnetic Resonance Image (MRI) are used to analyze the human organs without surgery. Detection of the tumor is the main objective of the system. Detection plays a critica...

Mathematical Morphology has proYed to be a yery powerful methodology in various applications of image analysis: industrial control, medical imagery, telecommunications, material sciences... This approach, however, has not yet fully entered the geological domain although many morphological tools can be described by referring to the vocabulary of earth science. A morphologist commonly uses concep...

In classical mathematical morphology for scalar images, the natural ordering of grey levels is used to define the erosion/dilation and the derived operators. Various operators can be sequentially applied to the resulting images always using the same ordering. In this paper we propose to consider the result of a prior transformation to define the imaginary part of a complex image, where the real...

The image of the license plate is located and segmented by some digital-image processing technologies such as gray-scale processing, gray-scale stretching and filtering, edge detection, morphological processing, Hough transformation etc. According to the characteristics of the license plate, binary matrix of character image sets the fuzzy matrix, and based on the principle of proximity computin...

In this paper a method for detection of microcalcifications (MCCs), which appear at the beginning stages of breast cancer, is presented by using mathematical morphology. This method consists of four steps. At the first step the contrast of suspicious regions on the image is enhanced by contrast stretching. In the next step a morphological filtering process is applied by using six different stru...

We propose a new approach based on the Marangoni theory, particularly a dampening of the wave spectra energy. The observation is decomposed into multiscale analysis using a pseudo morphological pyramid, named here as a alternating contextual filter, to improve the detection of local variations of the wave spectrum. The morphological thick gradient contrast is first performed with a varying stru...

Morphological knowledge (inflection, derivation, compounds) is useful for medical language processing. Some is available for medical English in the UMLS Specialist Lexicon, but not for the French language. Large corpora of medical texts can nowadays be obtained from the Web. We propose here a method, based on the cooccurrence of formally similar words, which takes advantage of such a corpus to ...

This work complements a parallel paper of a new finite-state dependency parser architecture (Yli-Jyrä, 2012) by a proposal for a linguistically elaborated morphology-syntax interface and its finite-state implementation. The proposed interface extends Gaifman’s (1965) classical dependency rule formalism by separating lexical word forms and morphological categories from syntactic categories. The ...