ModelDB: A Database to Support Computational Neuroscience

Wider dissemination and testing of computational models are crucial to the field of computational neuroscience. Databases are being developed to meet this need. ModelDB is a web-accessible database for convenient entry, retrieval, and running of published models on different platforms. This article provides a guide to entering a new model into ModelDB.     

Chromatin Polymorphism and the Nucleosome Superfamily: A Genealogy

Nucleosomes were discovered more than thirty years ago as the basic repeating units of chromatin. Since then, nucleosomes have progressively revealed their taste to come in many appearances, upon either adjunction of other proteins (e.g. a fifth histone or a non-histone protein, HMG-N), histone substitution for isoforms (histone variants), depletion of one or the two H2A-H2B dimers (sub-nucleosomes), intimate two-particle association, or isomeric structural alterations. The resulting entities, some of them are only transient, acquire new properties useful for their specific roles in chromatin function. These structures are presented here in the chronological order of their identification, from the chromatosome to the sub-nucleosomal hexasome and tetrasome, and from the dinucleosomal altosome and nucleodisome to the nucleosome variants and altered forms: the old lexosome and the most recent reversome.     

Neuroscience, ethics, and national security: the state of the art

National security organizations in the United States, including the armed services and the intelligence community, have developed a close relationship with the scientific establishment. The latest technology often fuels warfighting and counter-intelligence capacities, providing the tactical advantages thought necessary to maintain geopolitical dominance and national security. Neuroscience has emerged as a prominent focus within this milieu, annually receiving hundreds of millions of Department of Defense dollars. Its role in national security operations raises ethical issues that need to be addressed to ensure the pragmatic synthesis of ethical accountability and national security.     

Neuroscience nanotechnology: progress, opportunities and challenges

Nanotechnologies exploit materials and devices with a functional organization that has been engineered at the nanometre scale. The application of nanotechnology in cell biology and physiology enables targeted interactions at a fundamental molecular level. In neuroscience, this entails specific interactions with neurons and glial cells. Examples of current research include technologies that are designed to better interact with neural cells, advanced molecular imaging technologies, materials and hybrid molecules used in neural regeneration, neuroprotection, and targeted delivery of drugs and small molecules across the blood-brain barrier.     

A Structural Analysis of Genealogy and Worldview in the Old Testament

The structural pattern inherent in the genealogy of the Old Testament is delineated (1). Correlating this structural pattern with the worldview of Ancient Israel, it is hypothesized that the genealogy functions as a model for the resolution of certain conflicts within the worldview (II). Finally, an analysis of the Jacob narration demonstrates the structural isomorphism of genealogy and individual case (III).     

Genealogy with seasonality,the basic reproduction number,and the influenza pandemic

The basic reproduction number R ₀ has been used in population biology, especially in epidemiology, for several decades. But a suitable definition in the case of models with periodic coefficients was given only in recent years. The definition involves the spectral radius of an integral operator. As in the study of structured epidemic models in a constant environment, there is a need to emphasize the biological meaning of this spectral radius. In this paper we show that R ₀ for periodic models is still an asymptotic per generation growth rate. We also emphasize the difference between this theoretical R ₀ for periodic models and the “reproduction number” obtained by fitting an exponential to the beginning of an epidemic curve. This difference has been overlooked in recent studies of the H1N1 influenza pandemic.