The Hippocampus Encodes Distances in Multidimensional Feature Space
Autor: | Guillén Fernández, Stephanie Theves, Christian F. Doeller |
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Jazyk: | angličtina |
Předmět: |
0301 basic medicine
Adult Male Feature vector Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13] Biology Abstract space Hippocampal formation Hippocampus General Biochemistry Genetics and Molecular Biology Language in Interaction 03 medical and health sciences Young Adult 0302 clinical medicine All institutes and research themes of the Radboud University Medical Center 130 000 Cognitive Neurology & Memory Humans Cognitive map business.industry Representation (systemics) fMRI adaptation Pattern recognition Magnetic Resonance Imaging 030104 developmental biology Feature (computer vision) Space Perception Metric (mathematics) Female Artificial intelligence business General Agricultural and Biological Sciences 120 Memory and Space 030217 neurology & neurosurgery |
Zdroj: | Current Biology, 29, 7, pp. 1226-1231.E3 Current Biology 1226-1231.e3 Current Biology, 29, 1226-1231.E3 |
ISSN: | 0960-9822 |
DOI: | 10.1016/j.cub.2019.02.035 |
Popis: | Summary The hippocampal formation encodes maps of the physical environment [ 1 , 2 , 3 , 4 , 5 ]. A key question in neuroscience is whether its spatial coding principles also provide a universal metric for the organization of non-spatial information. Initial evidence comes from studies revealing directional modulation of fMRI responses in humans [ 6 , 7 ] during navigation through abstract spaces and the involvement of place and grid cells in encoding of non-spatial feature dimensions [ 8 ]. However, a critical feature of a map-like representation is information about distances between locations, which has yet only been demonstrated for physical space [ 4 , 9 ]. Here, we probe whether the hippocampus similarly encodes distances between points in an abstract space spanned by continuous stimulus-feature dimensions that were relevant to the acquisition of a novel concept. We find that, after learning, two-dimensional distances between individual positions in the abstract space were represented in the hippocampal multivoxel pattern as well as in the univariate hippocampal signal as indexed by fMRI adaptation. These results support the notion that the hippocampus computes domain-general, multidimensional cognitive maps along continuous dimensions. |
Databáze: | OpenAIRE |
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