1,495 results found
    1. Computational and Systems Biology
    2. Neuroscience

    Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics

    Jonathan Oesterle, Christian Behrens ... Philipp Berens
    Bayesian simulator-based inference is used to infer the parameters of complex multicompartment models of retinal neurons from two-photon imaging data.
    1. Neuroscience

    Bayesian inference of population prevalence

    Robin AA Ince, Angus T Paton ... Philippe G Schyns
    Bayesian estimation of the proportion of the population that would show an effect in an experiment provides a broadly applicable alternative to standard null hypothesis tests on the population mean with several advantages.
    1. Neuroscience

    Signatures of Bayesian inference emerge from energy-efficient synapses

    James Malkin, Cian O'Donnell ... Laurence Aitchison
    The parallels between Bayesian synapses and energy-efficient synapses are highlighted.
    1. Cancer Biology
    2. Computational and Systems Biology

    Quantifying chromosomal instability from intratumoral karyotype diversity using agent-based modeling and Bayesian inference

    Andrew R Lynch, Nicholas L Arp ... Mark E Burkard
    Chromosomal instability of cancer can be quantitatively measured by phylogenetic analysis of 200 tumor cells while using evolutionary principles to account for cellular selection.
    1. Computational and Systems Biology
    2. Structural Biology and Molecular Biophysics

    Bayesian inference of kinetic schemes for ion channels by Kalman filtering

    Jan L Münch, Fabian Paul ... Klaus Benndorf
    For analyzing time-dependent patch-clamp or patch-clamp fluorometry data of ion channels in terms of Markovian models, the superiority of Bayesian filtering with respect to traditional deterministic approaches is demonstrated enabling more reliable quantification of the parameters.
    1. Neuroscience

    Bayesian analysis of retinotopic maps

    Noah C Benson, Jonathan Winawer
    A novel Bayesian method of modeling retinotopic maps is more accurate than traditional voxel-wise methods and can be used to automatically derive high-quality maps.
    1. Neuroscience

    A Bayesian model of context-sensitive value attribution

    Francesco Rigoli, Karl J Friston ... Raymond J Dolan
    The dependence of incentive value attribution on the anticipation of rewards within a given context is explained via a normative Bayesian account of how rewards map to incentive values.
    1. Genetics and Genomics
    2. Microbiology and Infectious Disease

    A Bayesian analysis of the association between Leukotriene A4 Hydrolase genotype and survival in tuberculous meningitis

    Laura Whitworth, Jacob Coxon ... Lalita Ramakrishnan
    In this ideal example of pharmacogenomics, individuals with a common variant in a gene encoding for an inflammatory lipid mediator benefit selectively from standard-of-care anti-inflammatory treatment used for tuberculous meningitis.
    1. Neuroscience

    Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience

    Alexander Fengler, Lakshmi N Govindarajan ... Michael J Frank
    A novel method and software provides researchers with the capability to rapidly, flexibly, and robustly perform Bayesian parameter estimation of theoretically meaningful models in cognitive neuroscience that were heretofore intractable.
    1. Computational and Systems Biology
    2. Chromosomes and Gene Expression

    Stochastic modelling, Bayesian inference, and new in vivo measurements elucidate the debated mtDNA bottleneck mechanism

    Iain G Johnston, Joerg P Burgstaller ... Nick S Jones
    New modelling, statistics, and experiments show that cellular populations of mitochondrial DNA (mtDNA) evolve during development according to solvable stochastic dynamics involving binomial partitioning and random turnover, facilitating a predictive and quantitative theory of the mtDNA bottleneck.

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