1,458 research outputs found

    Learning theories reveal loss of pancreatic electrical connectivity in diabetes as an adaptive response

    Get PDF
    Cells of almost all solid tissues are connected with gap junctions which permit the direct transfer of ions and small molecules, integral to regulating coordinated function in the tissue. The pancreatic islets of Langerhans are responsible for secreting the hormone insulin in response to glucose stimulation. Gap junctions are the only electrical contacts between the beta-cells in the tissue of these excitable islets. It is generally believed that they are responsible for synchrony of the membrane voltage oscillations among beta-cells, and thereby pulsatility of insulin secretion. Most attempts to understand connectivity in islets are often interpreted, bottom-up, in terms of measurements of gap junctional conductance. This does not, however explain systematic changes, such as a diminished junctional conductance in type 2 diabetes. We attempt to address this deficit via the model presented here, which is a learning theory of gap junctional adaptation derived with analogy to neural systems. Here, gap junctions are modelled as bonds in a beta-cell network, that are altered according to homeostatic rules of plasticity. Our analysis reveals that it is nearly impossible to view gap junctions as homogeneous across a tissue. A modified view that accommodates heterogeneity of junction strengths in the islet can explain why, for example, a loss of gap junction conductance in diabetes is necessary for an increase in plasma insulin levels following hyperglycemia.Comment: 15 pages, 5 figures. To appear in PLoS One (2013

    A column of grains in the jamming limit: glassy dynamics in the compaction process

    Get PDF
    We investigate a stochastic model describing a column of grains in the jamming limit, in the presence of a low vibrational intensity. The key control parameter of the model, ϵ\epsilon, is a representation of granular shape, related to the reduced void space. Regularity and irregularity in grain shapes, respectively corresponding to rational and irrational values of ϵ\epsilon, are shown to be centrally important in determining the statics and dynamics of the compaction process.Comment: 29 pages, 14 figures, 1 table. Various minor changes and updates. To appear in EPJ

    Performance of Gujarat economy: an analysis of growth and instability

    Get PDF
    Since the State’s inception, the growth process in Gujarat and its regions has experienced ups and downs in the economic activities. Not much attention is attributed to short term fluctuations in the growth of economic activities as long as the long term growth depicts an upward trend. However, if the short term fluctuations become frequent and adversely affect the long term rate of growth, there is a need for a closer look. Tackling instability acquires importance for improving the lot of small and marginal farmers, who are more affected by spells of bad years. Instability in agricultural production raises risk in farm production, affecting farmers’ incomes and decisions for investments to adopt new technologies. This paper is devoted to looking at the long term macro-economic growth pattern of Gujarat since its inception. It highlights the problem of instability in economic growth – both for the economy and in particular for agricultural sector. The comparative picture of Gujarat in the national economy is presented, together with a discussion on changing structure of Gujarat’s economy from early 1960s to 2008-09. The analysis of instability is also carried out at the sectoral level. Analysis of instability is attempted in terms of structure of the economy. Income is the variable selected for analysis as it is a comprehensive measure of economic activity. For agriculture, the paper opts ‘output’ for the sectoral analysis.Agricultural growth, Instability, Sectoral growth, Gujarat

    The dynamics of competitive learning: the role of updates and memory

    Full text link
    We examine the effects of memory and different updating paradigms in a game-theoretic model of competitive learning, where agents are influenced in their choice of strategy by both the choices made by, and the consequent success rates of, their immediate neighbours. We apply parallel and sequential updates in all possible combinations to the two competing rules, and find, typically, that the phase diagram of the model consists of a disordered phase separating two ordered phases at coexistence. A major result is that the corresponding critical exponents belong to the generalised universality class of the voter model. When the two strategies are distinct but not too different, we find the expected linear response behaviour as a function of their difference.Finally, we look at the extreme situation when a superior strategy, accompanied by a short memory of earlier outcomes, is pitted against its inverse; interestingly, we find that a long memory of earlier outcomes can occasionally compensate for the choice of a globally inferior strategy

    Cover-Encodings of Fitness Landscapes

    Full text link
    The traditional way of tackling discrete optimization problems is by using local search on suitably defined cost or fitness landscapes. Such approaches are however limited by the slowing down that occurs when the local minima that are a feature of the typically rugged landscapes encountered arrest the progress of the search process. Another way of tackling optimization problems is by the use of heuristic approximations to estimate a global cost minimum. Here we present a combination of these two approaches by using cover-encoding maps which map processes from a larger search space to subsets of the original search space. The key idea is to construct cover-encoding maps with the help of suitable heuristics that single out near-optimal solutions and result in landscapes on the larger search space that no longer exhibit trapping local minima. We present cover-encoding maps for the problems of the traveling salesman, number partitioning, maximum matching and maximum clique; the practical feasibility of our method is demonstrated by simulations of adaptive walks on the corresponding encoded landscapes which find the global minima for these problems.Comment: 15 pages, 4 figure
    corecore