Cell ReportsNeurosciencePeer-reviewed journal article
Top-down feedback enables flexible coding strategies in olfactory cortex
Abstract
In chemical sensation, multiple models have been proposed to explain how odors are represented by patterns of neuronal activity in the olfactory cortex. One hypothesis is that the identity of combinations of active neurons within specific sniff-related time windows are critical for encoding information about odors. Another model is that patterns of neural activity evolve across time and it is this temporal structure that is essential for encoding odor information. Interestingly, we found that top-down feedback to the olfactory bulb dictates what information is transmitted to the olfactory cortex by switching between these two strategies. Using a detailed model of the early olfactory system, we demonstrate that feedback control of inhibitory granule cells in the main olfactory bulb influences the balance between excitatory and inhibitory synaptic currents in mitral cells, thereby restructuring the firing patterns of piriform cortical cells across time. This resulted in performance gains in both the accuracy and reaction time of odor discrimination tasks. These findings lead us to propose a new framework for early olfactory computation, one in which top-down feedback to the bulb flexibly controls the temporal structure of neural activity in olfactory cortex, allowing the early olfactory system to dynamically switch between two distinct models of coding. HighlightsO_LICentrifugal feedback shapes the temporal structure of neuronal firing in piriform cortical cells C_LIO_LIFeedback controls information to piriform cortex by restructuring the ratio of excitatory and inhibitory synaptic inputs in the bulb C_LIO_LICentrifugal feedback restructures how identity and timing of glomerular activity is represented in temporal patterns of activity in piriform cortex C_LIO_LITemporal information improves behavioral performance in accuracy and reaction time of odor discrimination C_LI
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- 22
- FWCI
- 2.86
- Field percentile
- top 9%
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