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Attractors and noise: Twin drivers of decisions and multistability

Maurizio Mattia; Maurizio Mattia; Jochen Braun

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  <identifier identifierType="URL">https://www.openaccessrepository.it/record/135967</identifier>
  <creators>
    <creator>
      <creatorName>Maurizio Mattia</creatorName>
    </creator>
    <creator>
      <creatorName>Maurizio Mattia</creatorName>
    </creator>
    <creator>
      <creatorName>Jochen Braun</creatorName>
    </creator>
  </creators>
  <titles>
    <title>Attractors and noise: Twin drivers of decisions and multistability</title>
  </titles>
  <publisher>INFN Open Access Repository</publisher>
  <publicationYear>2010</publicationYear>
  <subjects>
    <subject>Knowmad Institut</subject>
    <subject>Neuroinformatics</subject>
    <subject>EBRAINS</subject>
    <subject>Cognitive Neuroscience</subject>
    <subject>Neurology</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2010-09-01</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
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    <rights rightsURI="info:eu-repo/semantics/closedAccess">Closed Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">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.</description>
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Publication date:
September 1, 2010
DOI:
10.1016/j.neuroimage.2009.12.126

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Knowmad Institut Neuroinformatics EBRAINS Cognitive Neuroscience Neurology
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