Grid-like Neural Representations Support Olfactory Navigation of a Two-Dimensional Odor Space

Xiaojun Bao*, Eva Gjorgieva, Laura K. Shanahan, James D. Howard, Thorsten Kahnt, Jay A. Gottfried

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Grid cells in entorhinal cortex underlie spatial orientation and path finding. Bao et al. show that entorhinal grid-like codes with behavioral relevance emerge when humans mentally navigate an olfactory landscape, highlighting potential neural mechanisms for locating odor sources in odiferous environments.

Original languageEnglish (US)
Pages (from-to)1066-1075.e5
JournalNeuron
Volume102
Issue number5
DOIs
StatePublished - Jun 5 2019

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Entorhinal Cortex
Odorants
Grid Cells

Keywords

  • cognitive map
  • entorhinal cortex
  • fMRI
  • grid cells
  • human
  • odor coding
  • olfactory navigation
  • prefrontal cortex

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Bao, X., Gjorgieva, E., Shanahan, L. K., Howard, J. D., Kahnt, T., & Gottfried, J. A. (2019). Grid-like Neural Representations Support Olfactory Navigation of a Two-Dimensional Odor Space. Neuron, 102(5), 1066-1075.e5. https://doi.org/10.1016/j.neuron.2019.03.034
Bao, Xiaojun ; Gjorgieva, Eva ; Shanahan, Laura K. ; Howard, James D. ; Kahnt, Thorsten ; Gottfried, Jay A. / Grid-like Neural Representations Support Olfactory Navigation of a Two-Dimensional Odor Space. In: Neuron. 2019 ; Vol. 102, No. 5. pp. 1066-1075.e5.
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Bao, X, Gjorgieva, E, Shanahan, LK, Howard, JD, Kahnt, T & Gottfried, JA 2019, 'Grid-like Neural Representations Support Olfactory Navigation of a Two-Dimensional Odor Space', Neuron, vol. 102, no. 5, pp. 1066-1075.e5. https://doi.org/10.1016/j.neuron.2019.03.034

Grid-like Neural Representations Support Olfactory Navigation of a Two-Dimensional Odor Space. / Bao, Xiaojun; Gjorgieva, Eva; Shanahan, Laura K.; Howard, James D.; Kahnt, Thorsten; Gottfried, Jay A.

In: Neuron, Vol. 102, No. 5, 05.06.2019, p. 1066-1075.e5.

Research output: Contribution to journalArticle

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