731 results found
    1. Computational and Systems Biology
    2. Neuroscience

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

    Jonathan Oesterle et al.
    Bayesian simulator-based inference is used to infer the parameters of complex multicompartment models of retinal neurons from two-photon imaging data.
    1. Neuroscience

    Using the past to estimate sensory uncertainty

    Ulrik Beierholm et al.
    For perceptual inference, human observers do not estimate sensory uncertainty instantaneously from the current sensory signals alone, but by combining past and current sensory inputs consistent with a Bayesian learner.
    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 et al.
    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.
    1. Computational and Systems Biology
    2. Neuroscience

    Post-decision biases reveal a self-consistency principle in perceptual inference

    Long Luu, Alan A Stocker
    Humans are biased in their assessment of sensory information by their own preceding categorical judgment in an attempt to remain self-consistent.
    1. Computational and Systems Biology
    2. Neuroscience

    Training deep neural density estimators to identify mechanistic models of neural dynamics

    Pedro J Gonçalves et al.
    Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.
    1. Neuroscience

    A unified internal model theory to resolve the paradox of active versus passive self-motion sensation

    Jean Laurens, Dora E Angelaki
    Central vestibular regions in the brainstem and cerebellum perform dynamic Bayesian inference to combine motor commands and sensory signals into an optimal estimate of self-motion.
    1. Neuroscience

    A Bayesian model of context-sensitive value attribution

    Francesco Rigoli et al.
    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. Computational and Systems Biology
    2. Neuroscience

    The periaqueductal gray and Bayesian integration in placebo analgesia

    Arvina Grahl et al.
    Bayesian integration is able to predict placebo treatment outcomes by focusing especially on the influence of the precision of expectations.
    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 et al.
    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 et al.
    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.

Refine your results by:

Type
Research categories