Active dendritic integration and mixed neocortical network representations during an adaptive sensing behavior
Name
nihms-1506707.pdf
Description
Accepted version
Size
2.55 MB
Format
Unknown
Checksum (MD5)
355cf33d7ef4d5e0bd7f68f00a43d269
Author(s)
Ranganathan, Gayathri N
Apostolides, Pierre F
Harnett, Mark T.
Xu, Ning-Long
Druckmann, Shaul
Magee, Jeffrey C
Date Issued
2018
Journal
Nature Neuroscience
Publisher
Springer Nature
Version
Author's final manuscript
Abstract
© 2018, The Author(s), under exclusive licence to Springer Nature America, Inc. 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.
MIT Department
McGovern Institute for Brain Research at MIT
Terms of Use
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.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/S41593-018-0254-6
