A network of topographic numerosity maps in human association cortex.

Ben M. Harvey, Serge O. Dumoulin

    Research output: Contribution to journal/periodicalArticleScientificpeer-review

    81 Citations (Scopus)
    330 Downloads (Pure)

    Abstract

    Sensory and motor cortices each contain multiple topographic
    maps with the structure of sensory organs (such as the retina
    or cochlea) mapped onto the cortical surface. These sensory
    maps are hierarchically organized. For example, visual field
    maps contain neurons that represent increasingly large parts of
    visual space with increasingly complex responses1. Some visual
    neurons respond to stimuli with a particular numerosity —
    the number of objects in a set. We recently discovered a parietal
    topographic numerosity map in which neural numerosity preferences
    progress gradually across the cortical surface2, analogous
    to sensory maps. Following this analogy, we hypothesized
    that there may be multiple numerosity maps. Numerosity
    perception is implicated in many cognitive functions, including
    foraging3, multiple object tracking4, dividing attention5,
    decision-making6 and mathematics7–9. Here we use ultra-highfield
    (7 Tesla, 7T) functional magnetic resonance imaging
    (fMRI) and neural-model-based analyses to reveal numerosityselective
    neural populations organized into six widely separated
    topographic maps in each hemisphere. Although we
    describe subtle differences between these maps, their properties
    are very similar, unlike in sensory map hierarchies. These
    maps are found in areas implicated in object recognition, motion
    perception, attention control, decision-making and mathematics.
    Multiple numerosity maps may allow interactions
    with these cognitive systems, suggesting a broad role for
    quantity processing in supporting many perceptual and cognitive functions.
    Original languageEnglish
    Article number36
    JournalNature Human Behaviour
    Volume1
    DOIs
    Publication statusPublished - 2017

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