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Dynamical sensory representations establish a rapid odor code in a spiking model of the insect olfactory system

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(A) Kenyon Cell spike raster plot. Stimulation is indicated by gray shading (B) Top: Decoding Accuracy given two odors (chance level: 0.5) as a function of time based on spike count estimates in 50ms time bins. Bottom: Decoding accuracy based on KC adaptation currents. Cellular adaptation levels provide a stable odor trace that persists as an odor afterimage.
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Figure 1: (A) Kenyon Cell spike raster plot. Stimulation is indicated by gray shading (B) Top: Decoding Accuracy given two odors (chance level: 0.5) as a function of time based on spike count estimates in 50ms time bins. Bottom: Decoding accuracy based on KC adaptation currents. Cellular adaptation levels provide a stable odor trace that persists as an odor afterimage.

Mentions: Our model displays sparse and robust odor representation in the Mushroom Body [4]. Typically, less than 10% of the Kenyon Cell population is activated by an odor, with only 2-3 spikes at the odor onset (Figure 1A). KC spikes establish a rapid odor identity code at stimulus onset, while intrinsic adaptation currents provide a persistent and prolonged odor trace (Figure 1B). Our approach allows us to investigate dynamical changes in odor representations and predict odor after images.


Dynamical sensory representations establish a rapid odor code in a spiking model of the insect olfactory system
(A) Kenyon Cell spike raster plot. Stimulation is indicated by gray shading (B) Top: Decoding Accuracy given two odors (chance level: 0.5) as a function of time based on spike count estimates in 50ms time bins. Bottom: Decoding accuracy based on KC adaptation currents. Cellular adaptation levels provide a stable odor trace that persists as an odor afterimage.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4697596&req=5

Figure 1: (A) Kenyon Cell spike raster plot. Stimulation is indicated by gray shading (B) Top: Decoding Accuracy given two odors (chance level: 0.5) as a function of time based on spike count estimates in 50ms time bins. Bottom: Decoding accuracy based on KC adaptation currents. Cellular adaptation levels provide a stable odor trace that persists as an odor afterimage.
Mentions: Our model displays sparse and robust odor representation in the Mushroom Body [4]. Typically, less than 10% of the Kenyon Cell population is activated by an odor, with only 2-3 spikes at the odor onset (Figure 1A). KC spikes establish a rapid odor identity code at stimulus onset, while intrinsic adaptation currents provide a persistent and prolonged odor trace (Figure 1B). Our approach allows us to investigate dynamical changes in odor representations and predict odor after images.

View Article: PubMed Central - HTML

No MeSH data available.