2016
Balancing the Robustness and Efficiency of Odor Representations during Learning
Abstract: Summary For reliable stimulus identification, sensory codes have to be robust by including redundancy to combat noise, but redundancy sacrifices coding efficiency. To address how experience affects the balance between the robustness and efficiency of sensory codes, we probed odor representations in the mouse olfactory bulb during learning over a week, using longitudinal two-photon calcium imaging. When mice learned to discriminate between two dissimilar odorants, responses of mitral cell ensembles to the two o…
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Cited by 131 publications
(187 citation statements)
References 63 publications
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“…We note that the decoder performance was relatively stable throughout imaging, in contrast to our recent report in which the decoder performance improved during difficult discrimination learning and correlated with behavioral choice on a trial-by-trial basis ( Chu et al, 2016 ). The apparent discrepancy likely stems from the fact that Chu et al investigated changes of representations of novel odorants over time, while in the current study, mice had already been familiarized with the odorants, albeit at different mixture ratios, during the easy discrimination task prior to imaging.…”
Section: Discussioncontrasting
confidence: 99%
“…We note that the decoder performance was relatively stable throughout imaging, in contrast to our recent report in which the decoder performance improved during difficult discrimination learning and correlated with behavioral choice on a trial-by-trial basis ( Chu et al, 2016 ). The apparent discrepancy likely stems from the fact that Chu et al investigated changes of representations of novel odorants over time, while in the current study, mice had already been familiarized with the odorants, albeit at different mixture ratios, during the easy discrimination task prior to imaging.…”
Section: Discussioncontrasting
confidence: 99%
“…The number of divergent cells, however, actually increased by a small amount ( Fig 2H ). Thus, both results recapitulated the experimental observations [ 26 ]. These outcomes were not sensitive to the threshold θ that classified the cells ( S14 Fig ).…”
Section: Resultssupporting
confidence: 89%
“…Concomitantly, discriminability of stimulus representations is altered through selective boosting of responses of discriminating neurons (Figure 2h). These divergent responses occurred in about 12% of the neurons we observed, closely matching a previous report (Chu et al, 2016).…”
Section: Discussionsupporting
confidence: 93%
“…Modelling studies suggest that these are most often neurons with a preferred stimulus feature that is shifted slightly away from the stimulus features to be discriminated (Jazayeri and Movshon, 2006). These, in our case, comprise about 12% of the imaged neurons, which closely match previous reports (Chu et al, 2016). Our results suggest that such neurons may be the target of selective and dynamic modulation to enable enhanced discriminability as needed.…”
Section: Discussionsupporting
confidence: 92%
