Whitening of odor representations by the wiring diagram of the olfactory bulb
| Autor: | Rainer W. Friedrich, Adrian A. Wanner |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Sensory processing Computer science medicine.medical_treatment Models Neurological Article 03 medical and health sciences 0302 clinical medicine Memory Connectome medicine Biological neural network Zebrafish larvae Animals Functional connectome Zebrafish General Neuroscience Olfactory Pathways Wiring diagram Olfactory Perception Olfactory Bulb Electrophysiological Phenomena Olfactory bulb 030104 developmental biology Odor Larva Odorants Synapses Nerve Net Neuroscience Algorithms 030217 neurology & neurosurgery |
| Zdroj: | Nature neuroscience |
| ISSN: | 1546-1726 1097-6256 |
| DOI: | 10.1038/s41593-019-0576-z |
| Popis: | Neuronal computations underlying higher brain functions depend on synaptic interactions among specific neurons. A mechanistic understanding of such computations requires wiring diagrams of neuronal networks. In this study, we examined how the olfactory bulb (OB) performs ‘whitening’, a fundamental computation that decorrelates activity patterns and supports their classification by memory networks. We measured odor-evoked activity in the OB of a zebrafish larva and subsequently reconstructed the complete wiring diagram by volumetric electron microscopy. The resulting functional connectome revealed an over-representation of multisynaptic connectivity motifs that mediate reciprocal inhibition between neurons with similar tuning. This connectivity suppressed redundant responses and was necessary and sufficient to reproduce whitening in simulations. Whitening of odor representations is therefore mediated by higher-order structure in the wiring diagram that is adapted to natural input patterns. The authors measure evoked activity and perform dense reconstruction of the olfactory bulb wiring diagram in a zebrafish larva, uncovering a mechanism for whitening, a computation that decorrelates activity for pattern classification by memory networks. |
| Databáze: | OpenAIRE |
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