Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals

Background: oscillatory activity, which can be separated in background and oscillatory burst pattern activities, is supposed to be representative of local synchronies of neural assemblies. Oscillatory burst events should consequently play a specific functional role, distinct from background EEG activity – especially for cognitive tasks (e.g. working memory tasks), binding mechanisms and perceptual dynamics (e.g. visual binding), or in clinical contexts (e.g. effects of brain disorders). However extracting oscillatory events in single trials, with a reliable and consistent method, is not a simple task. Results: in this work we propose a user-friendly stand-alone toolbox, which models in a reasonable time a bump time-frequency model from the wavelet representations of a set of signals. The software is provided with a Matlab toolbox which can compute wavelet representations before calling automatically the stand-alone application. Conclusion: The tool is publicly available as a freeware at the address: http:// www.bsp.brain.riken.jp/bumptoolbox/toolbox_home.html

Parametric Approach to Blind Deconvolution of Nonlinear Channels

A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that the proposed algorithms perform efficiently, even in the presence of hard distortion. The method, based on the minimization of the output mutual information, needs the knowledge of log-derivative of input distribution (the so-called score function). Each algorithm consists of three adaptive blocks: one devoted to adaptive estimation of the score function, and two other blocks estimating the inverses of the linear and nonlinear parts of the channel, (quasi-)optimally adapted using the estimated score functions. This paper is mainly concerned by the nonlinear part, for which we propose two parametric models, the first based on a polynomial model and the second on a neural network, while [14, 15] proposed non-parametric approaches.

Quasi-Nonparametric Blind Inversion of Wiener Systems

An e cient procedure for the blind inversion of a nonlinear Wiener system is proposed. We proved that the problem can be expressed as a problem of blind source separation in nonlinear mixtures, for which a solution has been recently proposed. Based on a quasi-nonparametric relative gradient descent, the proposed algorithm can perform e ciently even in the presence of hard distortions.

EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts

EEG recordings are usually corrupted by spurious extra-cerebral artifacts, which should be rejected or cleaned up by the practitioner. Since manual screening of human EEGs is inherently error prone and might induce experimental bias, automatic artifact detection is an issue of importance. Automatic artifact detection is the best guarantee for objective and clean results. We present a new approach, based on the time–frequency shape of muscular artifacts, to achieve reliable and automatic scoring. The impact of muscular activity on the signal can be evaluated using this methodology by placing emphasis on the analysis of EEG activity. The method is used to discriminate evoked potentials from several types of recorded muscular artifacts—with a sensitivity of 98.8% and a specificity of 92.2%. Automatic cleaning ofEEGdata are then successfully realized using this method, combined with independent component analysis. The outcome of the automatic cleaning is then compared with the Slepian multitaper spectrum based technique introduced by Delorme et al (2007 Neuroimage 34 1443–9).

A Fast Gradient Approximation for Nonlinear Blind Signal Processing

When dealing with nonlinear blind processing algorithms (deconvolution or post-nonlinear source separation), complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing, spike signals deconvolution or microarray data analysis. In this paper, we propose a simple method to reduce computational time for the inversion of Wiener systems or the separation of post-nonlinear mixtures, by using a linear approximation in a minimum mutual information algorithm. Simulation results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased. On the other hand, cubic spline interpolation also obtains similar good results, but due to its intrinsic complexity, the global algorithm is much more slow and hence not useful for our purpose.

Barnbyn Skå (Skå, la vila dels infants) 1947-1972: L’experiència terapèutica de Gustav Jonsson amb infants «irrecuperables»

The article presents the trajectory of the Swedish psychiatrist Gustav Jonsson (1907-1994) who, in the 1940s, revolutionised the therapeutic and educational treatment of children and young people, considered irreclaimable from the social point of view, who were committed to educational institutions. It analyses the social development of the Welfare State in Sweden, the legal framework of child protection, as well as the context of Swedish residential care centres for children and young people in the first half of the 20th century in order to go further into the psychological and educational work conducted with the Barnbyn Skå group. Jonsson redirected the analysis of violent behaviours that were manifest in these children and young people which made them intractable from the educational point of view and established elements of psychoanalytical understanding, based on a systemic approach in which the family context became essential in order to understand the children’s difficulties. Barnbyn Skå was the centre which, under the guidance of Jonsson, developed this new therapeutic and pedagogic approach. The educational work carried out there exceeded the traditional model in terms of control and surveillance. The methods were considered radical from within pedagogy and caused great controversy which led the centre to continuous investigations on behalf of the Social Services of Stockholm between 1960 and 1970. For several decades Barnbyn Skå has been considered a pioneering experience in the field of Scandinavian child psychiatry.

A Canonical Genetic Algorithm for Blind Inversion of Linear Channels

It is well known the relationship between source separation and blind deconvolution: If a filtered version of an unknown i.i.d. signal is observed, temporal independence between samples can be used to retrieve the original signal, in the same manner as spatial independence is used for source separation. In this paper we propose the use of a Genetic Algorithm (GA) to blindly invert linear channels. The use of GA is justified in the case of small number of samples, where other gradient-like methods fails because of poor estimation of statistics.

Blind channel deconvolution of real world signals using source separation techniques

In this paper we present a method for blind deconvolution of linear channels based on source separation techniques, for real word signals. This technique applied to blind deconvolution problems is based in exploiting not the spatial independence between signals but the temporal independence between samples of the signal. Our objective is to minimize the mutual information between samples of the output in order to retrieve the original signal. In order to make use of use this idea the input signal must be a non-Gaussian i.i.d. signal. Because most real world signals do not have this i.i.d. nature, we will need to preprocess the original signal before the transmission into the channel. Likewise we should assure that the transmitted signal has non-Gaussian statistics in order to achieve the correct function of the algorithm. The strategy used for this preprocessing will be presented in this paper. If the receiver has the inverse of the preprocess, the original signal can be reconstructed without the convolutive distortion.

Blind Inversion of Wiener Systems

A system in which a linear dynamic part is followed by a non linear memoryless distortion a Wiener system is blindly inverted This kind of systems can be modelised as a postnonlinear mixture and using some results about these mixtures an e cient algorithm is proposed Results in a hard situation are presented and illustrate the e ciency of this algorithm

Differences of Functional Connectivity Brain Network in Emotional Judgment

Using combined emotional stimuli, combining photos of faces and recording of voices, we investigated the neural dynamics of emotional judgment using scalp EEG recordings. Stimuli could be either combioned in a congruent, or a non-congruent way.. As many evidences show the major role of alpha in emotional processing, the alpha band was subjected to be analyzed. Analysis was performed by computing the synchronization of the EEGs and the conditions congruent vs. non-congruent were compared using statistical tools. The obtained results demonstrate that scalp EEG ccould be used as a tool to investigate the neural dynamics of emotional valence and discriminate various emotions (angry, happy and neutral stimuli).

Estequiometria i metabolòmica d'Alopecurus pratensis i Holcus lanatus en condicions de sequera

La variabilitat de l’estequiometria elemental dels organismes a causa de l’ontogènia i dels canvis en les condicions ambientals està relacionada amb la variabilitat metabolòmica. Això és degut a que els elements operen majoritàriament com a parts de compostos moleculars. Així doncs, la hipòtesi realitzada per Rivas-Ubach et al., (2012), la qual postula que els estudis estequiomètrics i metabolòmics d’un conjunt d’espècies vegetals exposades a condicions ambientals diferents han de mostrar la flexibilitat que posseeix un organisme a l’hora de modular la seva estequiometria i el seu metaboloma per tal de mantenir la forma òptima sota condicions variants, esdevé la base que sustenta l’experiment EVENT II. A partir de l’estudi de les relacions estequiomètriques, -principalment C:N:P- i del metabolisme d’Alopecurus pratensis i Holcus lanatus en situacions simulades de sequera, s’han obtingut resultats que evidencien una clara diferenciació a nivell d’espècie, de part de la planta i de tractament. El metabolisme i l’estequiometria diferencial que presenten ambdues gramínies dóna suport a la hipòtesi del nínxol biogeoquímic. A nivell de parts de la planta, s’observa un clar augment de la relació C:nutrients a la part aèria, mentre que a les arrels, aquesta relació disminueix. La part aèria doncs, necessita més C per invertir en funcions estructurals, mentre que l’elevada concentració de nutrients i metabòlits a les arrels donen indicis de la presència de mecanismes osmòtics per a facilitar l’entrada d’aigua, i de creixement, per a la recerca de noves fonts d’aigua, observant-se una disminució de la relació part aèria:arrels. Un altre factor que demostra aquest creixement radicular són les baixes relacions N:P trobades, fet que dóna suport a la hipòtesi de la velocitat de creixement.

Statistical modeling of violin bowing parameter contours

We present a framework for modeling right-hand gestures in bowed-string instrument playing, applied to violin. Nearly non-intrusive sensing techniques allow for accurate acquisition of relevant timbre-related bowing gesture parameter cues. We model the temporal contour of bow transversal velocity, bow pressing force, and bow-bridge distance as sequences of short segments, in particular B´ezier cubic curve segments. Considering different articulations, dynamics, andcontexts, a number of note classes is defined. Gesture parameter contours of a performance database are analyzed at note-level by following a predefined grammar that dictatescharacteristics of curve segment sequences for each of the classes into consideration. Based on dynamic programming, gesture parameter contour analysis provides an optimal curve parameter vector for each note. The informationpresent in such parameter vector is enough for reconstructing original gesture parameter contours with significant fidelity. From the resulting representation vectors, weconstruct a statistical model based on Gaussian mixtures, suitable for both analysis and synthesis of bowing gesture parameter contours. We show the potential of the modelby synthesizing bowing gesture parameter contours from an annotated input score. Finally, we point out promising applicationsand developments.

Regressió a segon grau: causes i conseqüències

La recerca aborda la situació penitenciària de regressió a segon grau d’una persona classificada en tercer grau de tractament. Aquesta recerca neix de la dada que a Catalunya el retorn esglaonat a la comunitat (a partir del tercer grau o de la llibertat condicional) no és la forma habitual en què les persones condemnades extingeixen la condemna sinó que resulta més comú la finalització en segon grau. Aquesta realitat resulta preocupant ja que existeix una evidència científica favorable al retorn esglaonat com un sistema amb més probabilitats d’aconseguir la reinserció de la persona. La recerca parteix de que un dels factors que explica aquesta taxa baixa de finalització de la condemna en tercer grau o en llibertat condicional és justament la regressió a segon grau. Acceptat aquest fet, els objectius de la recerca consisteixen en valorar si el nostre sistema penitenciari fa un ús restringit de la regressió i en explorar si es poden identificar les causes que expliquen que una vegada que s’ha produït la regressió sigui difícil reprendre el procés de reinserció a la comunitat. Per dur a terme la recerca s’ha pres com a població de referència les persones que van patir una regressió a segon grau a Catalunya durant l’any 2011 i que finalitzen la seva condemna entre l’1 de juliol i el 31 de desembre del 2012. Això dóna una població de 52 persones. S’ha procedit a estudiar els expedients penitenciaris d’aquestes persones i s’ha aconseguit entrevistar al 75% d’elles. La recerca posa de manifest que la nostra pràctica de regressió es troba encara allunyada d’un model garantista i rehabilitador, indica algunes raons que expliquen la dificultat de recuperar el tercer grau o la llibertat condicional una vegada regressat i finalment s’assenyalen un conjunt de recomanacions o bones pràctiques.

Regresión a segundo grado: causas y consecuencias

La investigación aborda la situación penitenciaria de regresión a segundo grado de una persona clasificada en tercer grado de tratamiento. Esta investigación nace del dato de que en Cataluña el retorno escalonado a la comunidad (a partir del tercer grado o de la libertad condicional) no es la forma habitual en que las personas condenadas extinguen la condena, sino que resulta más común la finalización en segundo grado. Esta realidad resulta preocupante ya que existe una evidencia científica favorable al retorno escalonado como un sistema con más probabilidades de lograr la reinserción de la persona. La investigación parte de que uno de los factores que explica esta baja tasa de finalización de la condena en tercer grado o en libertad condicional es justamente la regresión a segundo grado. Aceptado este hecho, los objetivos de la investigación consisten en valorar si nuestro sistema penitenciario hace un uso restringido de la regresión y en explorar si se pueden identificar las causas que explican que una vez que se ha producido la regresión sea difícil retomar el proceso de reinserción en la comunidad. Para llevar a cabo la investigación se ha tomado como población de referencia a las personas que sufrieron una regresión a segundo grado en Cataluña durante el año 2011 y que finalizaron su condena entre el 1 de julio y el 31 de diciembre de 2012. Esto da una población de 52 personas. Se ha procedido a estudiar los expedientes penitenciarios de estas personas y se ha conseguido entrevistar al 75% de ellas. La investigación pone de manifiesto que nuestra práctica de regresión se encuentra todavía alejada de un modelo garantista y rehabilitador, indica algunas razones que explican la dificultad de recuperar el tercer grado o la libertad condicional una vez regresado y finalmente se señalan un conjunto de recomendaciones o buenas prácticas.

Plagiarism meets paraphrasing: insights for the new generation in automatic plagiarism detection

Although paraphrasing is the linguistic mechanism underlying many plagiarism cases, little attention has been paid to its analysis in the framework of automatic plagiarism detection. Therefore, state-of-the-art plagiarism detectors find it difficult to detect cases of paraphrase plagiarism. In this article, we analyse the relationship between paraphrasing and plagiarism, paying special attention to which paraphrase phenomena underlie acts of plagiarism and which of them are detected by plagiarism detection systems. With this aim in mind, we created the P4P corpus, a new resource which uses a paraphrase typology to annotate a subset of the PAN-PC-10 corpus for automatic plagiarism detection. The results of the Second International Competition on Plagiarism Detection were analysed in the light of this annotation. The presented experiments show that (i) more complex paraphrase phenomena and a high density of paraphrase mechanisms make plagiarism detection more difficult, (ii) lexical substitutions are the paraphrase mechanisms used the most when plagiarising, and (iii) paraphrase mechanisms tend to shorten the plagiarized text. For the first time, the paraphrase mechanisms behind plagiarism have been analysed, providing critical insights for the improvement of automatic plagiarism detection systems.