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Nat Neurosci. 2018 Nov;21(11):1583-1590. doi: 10.1038/s41593-018-0254-6. Epub 2018 Oct 22.

Active dendritic integration and mixed neocortical network representations during an adaptive sensing behavior.

Author information

1
Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA, USA.
2
Kresge Hearing Research Institute Department of Otolaryngology, University of Michigan , Ann Arbor, MI, USA.
3
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
4
Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
5
Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA, USA. jcmagee@bcm.edu.
6
Howard Hughes Medical Institute, Baylor College of Medicine, Houston, TX, USA. jcmagee@bcm.edu.

Abstract

Animals strategically scan the environment to form an accurate perception of their surroundings. Here we investigated the neuronal representations that mediate this behavior. Ca2+ imaging and selective optogenetic manipulation during an active sensing task reveals that layer 5 pyramidal neurons in the vibrissae cortex produce a diverse and distributed representation that is required for mice to adapt their whisking motor strategy to changing sensory cues. The optogenetic perturbation degraded single-neuron selectivity and network population encoding through a selective inhibition of active dendritic integration. Together the data indicate that active dendritic integration in pyramidal neurons produces a nonlinearly mixed network representation of joint sensorimotor parameters that is used to transform sensory information into motor commands during adaptive behavior. The prevalence of the layer 5 cortical circuit motif suggests that this is a general circuit computation.

PMID:
30349100
PMCID:
PMC6203624
[Available on 2019-04-22]
DOI:
10.1038/s41593-018-0254-6

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