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A transformation from latency to ensemble coding in a model of piriform cortex

Merav Stern, Kevin A. Bolding, L.F. Abbott, Kevin M. Franks
doi: https://doi.org/10.1101/118364
Merav Stern
1Edmond and Lily Safra Center for Brain Sciences, Hebrew University, Jerusalem 9190401 Israel
2Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, New York 10027, USA
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Kevin A. Bolding
3Department of Neurobiology, Duke University School of Medicine, Durham, North Carolina 27705-4010, USA
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L.F. Abbott
2Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, New York 10027, USA
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Kevin M. Franks
3Department of Neurobiology, Duke University School of Medicine, Durham, North Carolina 27705-4010, USA
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  • For correspondence: franks@neuro.duke.edu
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ABSTRACT

We present a spiking network model that transforms odor-dependent variable-latency olfactory bulb responses into a cortical ensemble code. In the model, which captures basic circuit properties of piriform cortex, the impact of the earliest-activated bulb inputs on the cortical response is amplified by diffuse recurrent collateral excitation, which then recruits strong feedback inhibition that stabilizes cortical activity and decreases the impact of later-responding glomeruli. Because the sequence of olfactory bulb activity for a particular odor is preserved across concentration, the ensemble of activated cortical neurons is robust to concentration changes. Nevertheless, odor concentration is represented by the latency and synchrony of the ensemble response. Using decoding techniques, we show that the ensemble-based coding scheme that arises in the cortical model supports concentration-invariant odor recognition.

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Posted March 20, 2017.
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A transformation from latency to ensemble coding in a model of piriform cortex
Merav Stern, Kevin A. Bolding, L.F. Abbott, Kevin M. Franks
bioRxiv 118364; doi: https://doi.org/10.1101/118364
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A transformation from latency to ensemble coding in a model of piriform cortex
Merav Stern, Kevin A. Bolding, L.F. Abbott, Kevin M. Franks
bioRxiv 118364; doi: https://doi.org/10.1101/118364

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