Out of nowhere: thought insertion, ownership and context-integration

We argue that thought insertion primarily involves a disruption of the sense of ownership for thoughts and that the lack of a sense of agency is but a consequence of this disruption. We defend the hypothesis that this disruption of the sense of ownership stems from a failure in the online integration of the contextual information related to a thought, in particular contextual information concerning the different causal factors that may be implicated in their production. Loss of unity of consciousness, manifested by incoherent subjective experiences is a general phenomenal characteristic of schizophrenia. This loss of coherence has been hypothesized to reflect a generalized deficit of contextual information integration not conveyed by, but related to, a target event. This deficit is manifested across many cognitive domains. We argue that it is also manifested in the process of thinking itself, resulting in causally decontextualized thoughts that are experienced as inserted thoughts

Quantification of reachable attractors in asynchronous discrete dynamics

Motivation: Models of discrete concurrent systems often lead to huge and complex state transition graphs that represent their dynamics. This makes difficult to analyse dynamical properties. In particular, for logical models of biological regulatory networks, it is of real interest to study attractors and their reachability from specific initial conditions, i.e. to assess the potential asymptotical behaviours of the system. Beyond the identification of the reachable attractors, we propose to quantify this reachability. Results: Relying on the structure of the state transition graph, we estimate the probability of each attractor reachable from a given initial condition or from a portion of the state space. First, we present a quasi-exact solution with an original algorithm called Firefront, based on the exhaustive exploration of the reachable state space. Then, we introduce an adapted version of Monte Carlo simulation algorithm, termed Avatar, better suited to larger models. Firefront and Avatar methods are validated and compared to other related approaches, using as test cases logical models of synthetic and biological networks. Availability: Both algorithms are implemented as Perl scripts that can be freely downloaded from http://compbio.igc.gulbenkian.pt/nmd/node/59 along with Supplementary Material.Comment: 19 pages, 2 figures, 2 algorithms and 2 table

Comportement asymptotique du coefficient effectif pour un opérateur aléatoire aux différences

Soit un milieu aléatoire discret de type échiquier à deux composants homogènes. Nous étudions la diffusion effective d'une marche aléatoire sur ce milieu lorsque la diffusion de l'un des deux composants tend vers zéro. Dans le cas où le choix du composant en chaque point de la grille se fait indépendamment des valeurs aux autres points et où les probabilités de transition vers les points voisins sont les moyennes harmoniques des diffusions correspondantes, nous montrons que le comportement asymptotique de la diffusion effective dépend de la probabilité de chacun des composants

Homogenization of Elliptic Difference Operators

We develop some aspects of general homogenization theory for second order elliptic difference operators and consider several models of homogenization problems for random discrete elliptic operators with rapidly oscillating coefficients. More precisely, we study the asymptotic behavior of effective coefficients for a family of random difference schemes whose coefficients can be obtained by the discretization of random high-contrast checkerboard structures. Then we compare, for various discretization methods, the effective coefficients obtained with the homogenized coefficients for corresponding differential operators

Impact study design

Precise design of impact studies carried out in interaction with WP2 and WP

GOToolBox: functional analysis of gene datasets based on Gene Ontology

We have developed methods and tools based on the Gene Ontology (GO) resource allowing the identification of statistically over- or under-represented terms in a gene dataset; the clustering of functionally related genes within a set; and the retrieval of genes sharing annotations with a query gene. GO annotations can also be constrained to a slim hierarchy or a given level of the ontology. The source codes are available upon request, and distributed under the GPL license

Analysis of the physical and BGC design experiments

Analysis of global numerical experiments with physical and BGC forecasting model to estimate the impact of new observing system design

Faculty Chamber Players with guest artist Brad Ritchie, cello

KSU Faculty Chamber Players features members of the KSU School of Music faculty performing repertoire for various groupings of musicians. This performance will include Schubert\u27s beloved Cello Quintet with Atlanta Symphony Orchestra cellist Brad Ritchie and André Caplet\u27s The Masque of Red Death featuring Elisabeth Remy Johnson, Atlanta Symphony Principal Harpist and KSU faculty member.https://digitalcommons.kennesaw.edu/musicprograms/2026/thumbnail.jp

Faculty Recital: Faculty Chamber Players

Kennesaw State University School of Music presents Faculty Chamber Players.https://digitalcommons.kennesaw.edu/musicprograms/1084/thumbnail.jp