Response Selectivity Is Correlated to Dendritic Structure in Parvalbumin-Expressing Inhibitory Neurons in Visual Cortex
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Runyan-2013-Response selectivity.pdf
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Author(s)
Runyan, Caroline A.
Sur, Mriganka
Date Issued
July 2013
Journal
Journal of Neuroscience
Publisher
Society for Neuroscience
Citation
Runyan, C. A., and M. Sur. “Response Selectivity Is Correlated to Dendritic Structure in Parvalbumin-Expressing Inhibitory Neurons in Visual Cortex.” Journal of Neuroscience 33, no. 28 (July 10, 2013): 11724–11733.
Version
Final published version
Abstract
Inhibitory neurons have been shown to perform a variety of functions within brain circuits, including shaping response functions in target cells. Still, how the properties of specific inhibitory neuron classes relate to their local circuits remains unclear. To better understand the distribution and origins of orientation selectivity in inhibitory neurons expressing the calcium binding protein parvalbumin (PV) in the mouse primary visual cortex, we labeled PV[superscript +] neurons with red fluorescent protein (RFP) and targeted them for cell-attached electrophysiological recordings. PV[superscript +] neurons could be broadly tuned or sharply tuned for orientation but tended to be more broadly tuned than unlabeled neurons on average. The dendritic morphology of PV[superscript +] cells, revealed by intracellular labeling, was strongly correlated with tuning: highly tuned PV[superscript +] neurons had shorter dendrites that branched nearer to the soma and had smaller dendritic fields overall, whereas broadly tuned PV[superscript +] neurons had longer dendrites that branched farther from the soma, producing larger dendritic fields. High-speed two-photon calcium imaging of visual responses showed that the orientation preferences of highly tuned PV[superscript +] neurons resembled the preferred orientations of neighboring cells. These results suggest that the diversity of the local neighborhood and the nature of dendritic sampling may both contribute to the response selectivity of PV[superscript +] neurons.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Picower Institute for Learning and Memory
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1523/jneurosci.2196-12.2013
