Stimulus-selective lateral signaling between olfactory afferents enables parallel encoding of distinct CO 2 dynamics
Year: 2020
Type: preprint
Abstract: SUMMARY An important problem in sensory processing is how lateral interactions that mediate the integration of information across sensory channels function with respect to stimulus tuning. We demonstrate a novel form of selective crosstalk between specific olfactory channels that occurs between primary olfactory receptor neurons (ORNs). Neurotransmitter release from ORNs can be driven by two distinct sources of excitation, feedforward activity derived from the odorant receptor and lateral input originating from specific subsets of other ORNs. Consequently, levels of presynaptic release can become dissociated from firing rate. Stimulus-selective lateral signaling results in the distributed representation of CO 2 , a behaviorally important environmental cue that elicits spiking in only a single ORN class, in multiple olfactory channels. Different CO 2 -responsive channels preferentially transmit distinct stimulus dynamics, thereby expanding the coding bandwidth for CO 2 . These results generalize to additional odors and olfactory channels, revealing a subnetwork of lateral interactions between ORNs that reshape the spatial and temporal structure of odor representations in a stimulus-specific manner. One Sentence Summary A novel subnetwork of stimulus-selective lateral interactions between primary olfactory sensory neurons enables new sensory computations.
Authors: Dhruv Zocchi, Emily S. Ye, Elizabeth J. Hong
Institution: California Institute of Technology
Language: English
Subfield: Sensory Systems
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W3106973264