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Title

Neuronal pattern separation in the olfactory bulb improves odor discrimination learning

Authors
Begnaud, Frédéric
Published in Nature Neuroscience. 2015
Abstract Neuronal pattern separation is thought to enable the brain to disambiguate sensory stimuli with overlapping features, thereby extracting valuable information. In the olfactory system, it remains unknown whether pattern separation acts as a driving force for sensory discrimination and the learning thereof. We found that overlapping odor-evoked input patterns to the mouse olfactory bulb (OB) were dynamically reformatted in the network on the timescale of a single breath, giving rise to separated patterns of activity in an ensemble of output neurons, mitral/tufted (M/T) cells. Notably, the extent of pattern separation in M/T assemblies predicted behavioral discrimination performance during the learning phase. Furthermore, exciting or inhibiting GABAergic OB interneurons, using optogenetics or pharmacogenetics, altered pattern separation and thereby odor discrimination learning in a bidirectional way. In conclusion, we propose that the OB network can act as a pattern separator facilitating olfactory stimulus distinction, a process that is sculpted by synaptic inhibition.
Keywords Pattern separationOptogeneticChemogeneticLearningBehaviorOlfaction
Identifiers
PMID: 26301325
Full text
Article (Published version) (4.1 MB) - document accessible for UNIGE members only Limited access to UNIGE
Other version: http://www.nature.com/doifinder/10.1038/nn.4089
Structures
Research groups Groupe Carleton Alan (neurosciences fondamentales) (876)
Groupe Rodriguez
Projects FNS: 31003A_153410
FP7: NEUROCHEMS
Citation
(ISO format)
GSCHWEND, Olivier et al. Neuronal pattern separation in the olfactory bulb improves odor discrimination learning. In: Nature Neuroscience, 2015. https://archive-ouverte.unige.ch/unige:75227

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Deposited on : 2015-09-16

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