Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception
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Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. / Chong, Edmund; Moroni, Monica; Wilson, Christopher; Shoham, Shy; Panzeri, Stefano; Rinberg, Dmitry.
in: SCIENCE, Jahrgang 368, Nr. 6497, eaba2357, 19.06.2020.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception
AU - Chong, Edmund
AU - Moroni, Monica
AU - Wilson, Christopher
AU - Shoham, Shy
AU - Panzeri, Stefano
AU - Rinberg, Dmitry
N1 - Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
PY - 2020/6/19
Y1 - 2020/6/19
N2 - How does neural activity generate perception? Finding the combinations of spatial or temporal activity features (such as neuron identity or latency) that are consequential for perception remains challenging. We trained mice to recognize synthetic odors constructed from parametrically defined patterns of optogenetic activation, then measured perceptual changes during extensive and controlled perturbations across spatiotemporal dimensions. We modeled recognition as the matching of patterns to learned templates. The templates that best predicted recognition were sequences of spatially identified units, ordered by latencies relative to each other (with minimal effects of sniff). Within templates, individual units contributed additively, with larger contributions from earlier-activated units. Our synthetic approach reveals the fundamental logic of the olfactory code and provides a general framework for testing links between sensory activity and perception.
AB - How does neural activity generate perception? Finding the combinations of spatial or temporal activity features (such as neuron identity or latency) that are consequential for perception remains challenging. We trained mice to recognize synthetic odors constructed from parametrically defined patterns of optogenetic activation, then measured perceptual changes during extensive and controlled perturbations across spatiotemporal dimensions. We modeled recognition as the matching of patterns to learned templates. The templates that best predicted recognition were sequences of spatially identified units, ordered by latencies relative to each other (with minimal effects of sniff). Within templates, individual units contributed additively, with larger contributions from earlier-activated units. Our synthetic approach reveals the fundamental logic of the olfactory code and provides a general framework for testing links between sensory activity and perception.
KW - Animals
KW - Bacterial Proteins/genetics
KW - Channelrhodopsins/genetics
KW - Luminescent Proteins/genetics
KW - Mice
KW - Models, Neurological
KW - Odorants
KW - Olfactory Bulb/cytology
KW - Olfactory Marker Protein/genetics
KW - Olfactory Perception/genetics
KW - Optogenetics
KW - Smell/physiology
KW - Spatio-Temporal Analysis
U2 - 10.1126/science.aba2357
DO - 10.1126/science.aba2357
M3 - SCORING: Journal article
C2 - 32554567
VL - 368
JO - SCIENCE
JF - SCIENCE
SN - 0036-8075
IS - 6497
M1 - eaba2357
ER -
