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Attractors and noise: Twin drivers of decisions and multistability

Maurizio Mattia; Maurizio Mattia; Jochen Braun


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  "@context": "https://schema.org/", 
  "@id": "https://doi.org/10.1016/j.neuroimage.2009.12.126", 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Maurizio Mattia"
    }, 
    {
      "@type": "Person", 
      "name": "Maurizio Mattia"
    }, 
    {
      "@type": "Person", 
      "name": "Jochen Braun"
    }
  ], 
  "datePublished": "2010-09-01", 
  "description": "Abstract   Perceptual decisions are made not only during goal-directed behavior such as choice tasks, but also occur spontaneously while multistable stimuli are being viewed. In both contexts, the formation of a perceptual decision is best captured by noisy attractor dynamics. Noise-driven attractor transitions can accommodate a wide range of timescales and a hierarchical arrangement with \"nested attractors\" harbors even more dynamical possibilities. The attractor framework seems particularly promising for understanding higher-level mental states that combine heterogeneous information from a distributed set of brain areas.", 
  "headline": "Attractors and noise: Twin drivers of decisions and multistability", 
  "identifier": "https://doi.org/10.1016/j.neuroimage.2009.12.126", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "inLanguage": {
    "@type": "Language", 
    "alternateName": "eng", 
    "name": "English"
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  "keywords": [
    "Knowmad Institut", 
    "Neuroinformatics", 
    "EBRAINS", 
    "Cognitive Neuroscience", 
    "Neurology"
  ], 
  "license": "", 
  "name": "Attractors and noise: Twin drivers of decisions and multistability", 
  "url": "https://www.openaccessrepository.it/record/135967"
}
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