423 results found
    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. 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. Evolutionary Biology
    2. Microbiology and Infectious Disease

    Integrating influenza antigenic dynamics with molecular evolution

    Trevor Bedford et al.
    Combined antigenic and genetic analysis shows that different strains of the human influenza virus display dramatically different rates of antigenic drift, and that these differences have a significant impact on the number of new infections in each flu season.
    1. Neuroscience

    Inferring eye position from populations of lateral intraparietal neurons

    Arnulf BA Graf, Richard A Andersen
    An area of visual-motor cortex called the lateral intraparietal area encodes eye position signals that support visually-guided behaviors and image stabilization.
    1. Neuroscience

    Brain signatures of a multiscale process of sequence learning in humans

    Maxime Maheu et al.
    Evidence for multiple brain systems for sequence processing involving statistical inferences at multiple scales.
    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. Neuroscience

    The computational nature of memory modification

    Samuel J Gershman et al.
    A computational model explains how the brain chooses between creating a new memory versus updating an old one when faced with an event that defies expectations.
    1. Epidemiology and Global Health

    Structure in the variability of the basic reproductive number (R0) for Zika epidemics in the Pacific islands

    Clara Champagne et al.
    Stochastic models able to reproduce both incidence and seroprevalence data for Zika outbreaks in the Pacific Islands estimate that the basic reproduction number (R0) is between 1.5 and 4.1.
    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. Neuroscience

    Adaptive coding for dynamic sensory inference

    Wiktor F Młynarski, Ann M Hermundstad
    To make reliable but metabolically efficient perceptual inferences in a changing world, neural systems should dynamically adapt based on surprise and uncertainty about the sensory environment.

Refine your results by:

Type
Research categories