Results 41 to 50 of about 518,510 (312)
Cortical hierarchies perform Bayesian causal inference in multisensory perception.
PLoS Biology, 2015 To form a veridical percept of the environment, the brain needs to integrate sensory signals from a common source but segregate those from independent sources.
Tim Rohe, Uta Noppeney
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Algorithms of causal inference for the analysis of effective connectivity among brain regions
Frontiers in Neuroinformatics, 2014 In recent years, powerful general algorithms of causal inference have been developed. In particular, in the framework of Pearl’s causality, algorithms of inductive causation (IC and IC*) provide a procedure to determine which causal connections among ...
Daniel eChicharro +2 more
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Emergence of canonical functional networks from the structural connectome
NeuroImage, 2021 How do functional brain networks emerge from the underlying wiring of the brain? We examine how resting-state functional activation patterns emerge from the underlying connectivity and length of white matter fibers that constitute its “structural ...
Xihe Xie +4 more
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A max-stable process model for rainfall extremes at different accumulation durations
Weather and Climate Extremes, 2016 A common existing approach to modeling rainfall extremes employs a spatial Bayesian hierarchical model, where latent Gaussian processes are specified on distributional parameters in order to pool spatial information.
Alec G. Stephenson +2 more
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Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data
NeuroImage, 2020 We introduce a probabilistic generative model for disentangling spatio-temporal disease trajectories from collections of high-dimensional brain images.
Clément Abi Nader +3 more
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Mapping species diversification metrics in macroecology: Prospects and challenges
Frontiers in Ecology and Evolution, 2022 The intersection of macroecology and macroevolution is one of today’s most active research in biology. In the last decade, we have witnessed a steady increment of macroecological studies that use metrics attempting to capture macroevolutionary processes ...
Julián A. Velasco +1 more
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, 2014 We would like to thank both GEOIDE and the Social Sciences and Humanities Research Council of Canada for funding.Model assessment is one of the most important aspects of statistical analysis.
Colin Robertson +9 more
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Active inference, selective attention, and the cocktail party problem
Neuroscience and Biobehavioral Reviews, 2021 In this paper, we introduce a new generative model for an active inference account of preparatory and selective attention, in the context of a classic ‘cocktail party’ paradigm.
E. Holmes +3 more
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Assessing Survey Design for Long-Term Population Trend Detection in Piping Plovers
LandDetermining appropriate spatio-temporal scales for monitoring migratory shorebirds is challenging. Effective surveys must detect population trends without excessive or insufficient sampling, yet many programs lack formal evaluations of survey ...
Eve Bohnett +6 more
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Inferring multi-scale neural mechanisms with brain network modelling
eLife, 2018 The neurophysiological processes underlying non-invasive brain activity measurements are incompletely understood. Here, we developed a connectome-based brain network model that integrates individual structural and functional data with neural population ...
Michael Schirner +4 more
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