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Dendritic organization of sensory input to cortical neurons in vivo

Author

Listed:
  • Hongbo Jia

    (Institute of Neuroscience and Center for Integrated Protein Science, Technical University Munich, Biedersteinerstrasse 29, 80802 Munich, Germany)

  • Nathalie L. Rochefort

    (Institute of Neuroscience and Center for Integrated Protein Science, Technical University Munich, Biedersteinerstrasse 29, 80802 Munich, Germany)

  • Xiaowei Chen

    (Institute of Neuroscience and Center for Integrated Protein Science, Technical University Munich, Biedersteinerstrasse 29, 80802 Munich, Germany)

  • Arthur Konnerth

    (Institute of Neuroscience and Center for Integrated Protein Science, Technical University Munich, Biedersteinerstrasse 29, 80802 Munich, Germany)

Abstract

In sensory cortex regions, neurons are tuned to specific stimulus features. For example, in the visual cortex, many neurons fire predominantly in response to moving objects of a preferred orientation. However, the characteristics of the synaptic input that cortical neurons receive to generate their output firing pattern remain unclear. Here we report a novel approach for the visualization and functional mapping of sensory inputs to the dendrites of cortical neurons in vivo. By combining high-speed two-photon imaging with electrophysiological recordings, we identify local subthreshold calcium signals that correspond to orientation-specific synaptic inputs. We find that even inputs that share the same orientation preference are widely distributed throughout the dendritic tree. At the same time, inputs of different orientation preference are interspersed, so that adjacent dendritic segments are tuned to distinct orientations. Thus, orientation-tuned neurons can compute their characteristic firing pattern by integrating spatially distributed synaptic inputs coding for multiple stimulus orientations.

Suggested Citation

  • Hongbo Jia & Nathalie L. Rochefort & Xiaowei Chen & Arthur Konnerth, 2010. "Dendritic organization of sensory input to cortical neurons in vivo," Nature, Nature, vol. 464(7293), pages 1307-1312, April.
  • Handle: RePEc:nat:nature:v:464:y:2010:i:7293:d:10.1038_nature08947
    DOI: 10.1038/nature08947
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    Citations

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    Cited by:

    1. Romain Daniel Cazé & Mark Humphries & Boris Gutkin, 2013. "Passive Dendrites Enable Single Neurons to Compute Linearly Non-separable Functions," PLOS Computational Biology, Public Library of Science, vol. 9(2), pages 1-15, February.
    2. Jeyadarshan Jeyabalaratnam & Vishal Bharmauria & Lyes Bachatene & Sarah Cattan & Annie Angers & Stéphane Molotchnikoff, 2013. "Adaptation Shifts Preferred Orientation of Tuning Curve in the Mouse Visual Cortex," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-8, May.
    3. Matteo Farinella & Daniel T Ruedt & Padraig Gleeson & Frederic Lanore & R Angus Silver, 2014. "Glutamate-Bound NMDARs Arising from In Vivo-like Network Activity Extend Spatio-temporal Integration in a L5 Cortical Pyramidal Cell Model," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-21, April.
    4. Timm Lochmann & Timothy J Blanche & Daniel A Butts, 2013. "Construction of Direction Selectivity through Local Energy Computations in Primary Visual Cortex," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-13, March.
    5. Sadra Sadeh & Stefan Rotter, 2015. "Orientation Selectivity in Inhibition-Dominated Networks of Spiking Neurons: Effect of Single Neuron Properties and Network Dynamics," PLOS Computational Biology, Public Library of Science, vol. 11(1), pages 1-17, January.
    6. Zhiwei Xu & Erez Geron & Luis M. Pérez-Cuesta & Yang Bai & Wen-Biao Gan, 2023. "Generalized extinction of fear memory depends on co-allocation of synaptic plasticity in dendrites," Nature Communications, Nature, vol. 14(1), pages 1-17, December.

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