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Conserved neural dynamics and computations across species in olfaction.
Ling, Doris; Moss, Elizabeth H; Smith, Cameron L; Kroeger, Ryan; Reimer, Jacob; Raman, Baranidharan; Arenkiel, Benjamin R.
Afiliação
  • Ling D; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO.
  • Moss EH; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX.
  • Smith CL; Department of Neuroscience, Baylor College of Medicine, Houston TX.
  • Kroeger R; Department of Neuroscience, Baylor College of Medicine, Houston TX.
  • Reimer J; Department of Neuroscience, Baylor College of Medicine, Houston TX.
  • Raman B; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO.
  • Arenkiel BR; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX.
bioRxiv ; 2023 Apr 24.
Article em En | MEDLINE | ID: mdl-37162844
ABSTRACT
Interpreting chemical information and translating it into ethologically relevant output is a common challenge of olfactory systems across species. Are computations performed by olfactory circuits conserved across species to overcome these common challenges? To understand this, we compared odor responses in the locust antennal lobe (AL) and mouse olfactory bulb (OB). We found that odors activated nearly mutually exclusive neural ensembles during stimulus presentation ('ON response') and after stimulus termination ('OFF response'). Strikingly, ON and OFF responses evoked by a single odor were anticorrelated with each other. 'Inverted' OFF responses enhanced contrast between odors experienced close together in time. Notably, OFF responses persisted long after odor termination in both AL and OB networks, indicating a form of short-term memory. Taken together, our results reveal key neurodynamic features underlying olfactory computations that are conserved across insect and mammalian olfactory systems.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article