Auditory perceptual decision-making based on semantic categorization of environmental sounds.

Discriminating complex sounds relies on multiple stages of differential brain activity. The specific roles of these stages and their links to perception were the focus of the present study. We presented 250ms duration sounds of living and man-made objects while recording 160-channel electroencephalography (EEG). Subjects categorized each sound as that of a living, man-made or unknown item. We tested whether/when the brain discriminates between sound categories even when not transpiring behaviorally. We applied a single-trial classifier that identified voltage topographies and latencies at which brain responses are most discriminative. For sounds that the subjects could not categorize, we could successfully decode the semantic category based on differences in voltage topographies during the 116-174ms post-stimulus period. Sounds that were correctly categorized as that of a living or man-made item by the same subjects exhibited two periods of differences in voltage topographies at the single-trial level. Subjects exhibited differential activity before the sound ended (starting at 112ms) and on a separate period at ~270ms post-stimulus onset. Because each of these periods could be used to reliably decode semantic categories, we interpreted the first as being related to an implicit tuning for sound representations and the second as being linked to perceptual decision-making processes. Collectively, our results show that the brain discriminates environmental sounds during early stages and independently of behavioral proficiency and that explicit sound categorization requires a subsequent processing stage.

Achievement goals in educational contexts: A social psychology perspective

Research on achievement goals usually defines mastery goals as the desire to acquire knowledge, and performance goals as the desire to outperform (or not to underperform) others. Educational contexts are most of the time social contexts, involving various persons and groups, of various hierarchical positions, and various cultural and ideological contexts. Surprisingly, most research in the achievement goal field has been conducted at an individual level of analysis. In the present paper, we will review the social consequences and antecedents of goal endorsement. This research indicates that goals strongly affect the way one behaves with co-learners. Moreover, it suggests that more than merely individual dispositions, goals reflect the social relation students have with other persons, institutions, and with the society to which they belong. We conclude this paper by setting an agenda for future achievement goal research.

Toward a Cultural Health Psychology : taking researcher's and participants' activity into consideration

Several authors in critical health psychology have underlined the need to develop models of psychological life within qualitative research that are not limited to mere descriptions of health or illness. This communication presents methodological basis in order to overcome such descriptive level by proposing a socio-cultural approach. First, we analyze the dominant tendency in psychology consisting on defining the constructivist paradigm and qualitative research as impressionist, vague and subjective, that is, "non scientific". We claim that qualitative research may be objective, clear and precise while succeeding to consider psychological processes within their socio-cultural context. We make "indirect methods" a major focus, as able to capture psychological processes at stake in health and illness by interpreting their "traces". Moreover, we illustrate a variety of methods used in psychology to study the structuring role of culture in this process. We conclude by discussing the possibility to build complex psychological concepts regardless immediate experience.

Psychosocial analysis of ETA's violence legitimation discourse

This study analyses the fundamental components shaping the violence legitimation discourse of ETA (Euskadi Ta Askasuna). With this aim, a category system has been built, which organizes the psychosocial processes identified in previous studies related to violence legitimation. Based on the proposed category system, a content analysis was conducted on 21 statements of ETA, released between 1998 and 2011. An intraobserver and inter-observer reliability analysis reveals high level stability and replicability of the categorization. The results show, firstly, that outgroup components have a predominant presence over ingroup components. Secondly, in the components hierarchy, we observe that elements referring to identity come in first place, followed in similar frequencies by those related to violence representation and the definition of the situation.

Psychology in Catalonia: 1996-2002

En aquest article es presenta el resum del Report de la Recerca en Psicologia a Catalunya durant el període 1996-2002, publicat l'any 2004 per l'Institut d'Estudis Catalans. A partir de informacions diverses, procedents especialmentd'institucions educatives de nivell universitari, Administració de Catalunya (Departament d'Universitats, Recercai Societat de la Informació, DURSI), i els propis coordinadors de Grups de Recerca -prèviament detectats mitjançant laelaboració d'un qüestionari ad hoc-, s'ha perfilat un mapa de la recerca en Psicologia a Catalunya durant el períodeestudiat, el qual inclou investigadors procedents de les sis Universitats catalanes en les quals s'imparteixen estudis dePsicologia (o, en el cas de la Universitat de Lleida, de Psicopedagogia). Els eixos organitzadors de la informació hanestat les Àrees de Coneixement i les Universitats. La informació recollida s'ha articulat al voltant de diversesqüestions cabdals relatives als Grups de Recerca: Projectes de recerca obtinguts per part de diversos organismes subvencionants, la productivitat contemplada des de la vessant de la publicació d'articles científics, el finançament obtingut per part de diverses Administracions i entitats privades, la infrastructura amb la que compten, les característiques d'arranjament d'aquests Grups, i, finalment, les condicions, valoracions, expectatives i gestió dels recursos dels Grups de Recerca.

Psychosocial analysis of ETA's violence legitimation discourse

This study analyses the fundamental components shaping the violence legitimation discourse of ETA (Euskadi Ta Askasuna). With this aim, a category system has been built, which organizes the psychosocial processes identified in previous studies related to violence legitimation. Based on the proposed category system, a content analysis was conducted on 21 statements of ETA, released between 1998 and 2011. An intraobserver and inter-observer reliability analysis reveals high level stability and replicability of the categorization. The results show, firstly, that outgroup components have a predominant presence over ingroup components. Secondly, in the components hierarchy, we observe that elements referring to identity come in first place, followed in similar frequencies by those related to violence representation and the definition of the situation.

Voir le monde à travers les lunettes du métacontraste: un modèle mathématique inspiré de la psychologie sociale

La théorie de l'autocatégorisation est une théorie de psychologie sociale qui porte sur la relation entre l'individu et le groupe. Elle explique le comportement de groupe par la conception de soi et des autres en tant que membres de catégories sociales, et par l'attribution aux individus des caractéristiques prototypiques de ces catégories. Il s'agit donc d'une théorie de l'individu qui est censée expliquer des phénomènes collectifs. Les situations dans lesquelles un grand nombre d'individus interagissent de manière non triviale génèrent typiquement des comportements collectifs complexes qui sont difficiles à prévoir sur la base des comportements individuels. La simulation informatique de tels systèmes est un moyen fiable d'explorer de manière systématique la dynamique du comportement collectif en fonction des spécifications individuelles. Dans cette thèse, nous présentons un modèle formel d'une partie de la théorie de l'autocatégorisation appelée principe du métacontraste. À partir de la distribution d'un ensemble d'individus sur une ou plusieurs dimensions comparatives, le modèle génère les catégories et les prototypes associés. Nous montrons que le modèle se comporte de manière cohérente par rapport à la théorie et est capable de répliquer des données expérimentales concernant divers phénomènes de groupe, dont par exemple la polarisation. De plus, il permet de décrire systématiquement les prédictions de la théorie dont il dérive, notamment dans des situations nouvelles. Au niveau collectif, plusieurs dynamiques peuvent être observées, dont la convergence vers le consensus, vers une fragmentation ou vers l'émergence d'attitudes extrêmes. Nous étudions également l'effet du réseau social sur la dynamique et montrons qu'à l'exception de la vitesse de convergence, qui augmente lorsque les distances moyennes du réseau diminuent, les types de convergences dépendent peu du réseau choisi. Nous constatons d'autre part que les individus qui se situent à la frontière des groupes (dans le réseau social ou spatialement) ont une influence déterminante sur l'issue de la dynamique. Le modèle peut par ailleurs être utilisé comme un algorithme de classification automatique. Il identifie des prototypes autour desquels sont construits des groupes. Les prototypes sont positionnés de sorte à accentuer les caractéristiques typiques des groupes, et ne sont pas forcément centraux. Enfin, si l'on considère l'ensemble des pixels d'une image comme des individus dans un espace de couleur tridimensionnel, le modèle fournit un filtre qui permet d'atténuer du bruit, d'aider à la détection d'objets et de simuler des biais de perception comme l'induction chromatique. Abstract Self-categorization theory is a social psychology theory dealing with the relation between the individual and the group. It explains group behaviour through self- and others' conception as members of social categories, and through the attribution of the proto-typical categories' characteristics to the individuals. Hence, it is a theory of the individual that intends to explain collective phenomena. Situations involving a large number of non-trivially interacting individuals typically generate complex collective behaviours, which are difficult to anticipate on the basis of individual behaviour. Computer simulation of such systems is a reliable way of systematically exploring the dynamics of the collective behaviour depending on individual specifications. In this thesis, we present a formal model of a part of self-categorization theory named metacontrast principle. Given the distribution of a set of individuals on one or several comparison dimensions, the model generates categories and their associated prototypes. We show that the model behaves coherently with respect to the theory and is able to replicate experimental data concerning various group phenomena, for example polarization. Moreover, it allows to systematically describe the predictions of the theory from which it is derived, specially in unencountered situations. At the collective level, several dynamics can be observed, among which convergence towards consensus, towards frag-mentation or towards the emergence of extreme attitudes. We also study the effect of the social network on the dynamics and show that, except for the convergence speed which raises as the mean distances on the network decrease, the observed convergence types do not depend much on the chosen network. We further note that individuals located at the border of the groups (whether in the social network or spatially) have a decisive influence on the dynamics' issue. In addition, the model can be used as an automatic classification algorithm. It identifies prototypes around which groups are built. Prototypes are positioned such as to accentuate groups' typical characteristics and are not necessarily central. Finally, if we consider the set of pixels of an image as individuals in a three-dimensional color space, the model provides a filter that allows to lessen noise, to help detecting objects and to simulate perception biases such as chromatic induction.