Literature DB >> 20869600

Neural activity in barrel cortex underlying vibrissa-based object localization in mice.

Daniel H O'Connor1, Simon P Peron, Daniel Huber, Karel Svoboda.   

Abstract

Classical studies have related the spiking of selected neocortical neurons to behavior, but little is known about activity sampled from the entire neural population. We recorded from neurons selected independent of spiking, using cell-attached recordings and two-photon calcium imaging, in the barrel cortex of mice performing an object localization task. Spike rates varied across neurons, from silence to >60 Hz. Responses were diverse, with some neurons showing large increases in spike rate when whiskers contacted the object. Nearly half the neurons discriminated object location; a small fraction of neurons discriminated perfectly. More active neurons were more discriminative. Layer (L) 4 and L5 contained the highest fractions of discriminating neurons (∼63% and 79%, respectively), but a few L2/3 neurons were also highly discriminating. Approximately 13,000 spikes per activated barrel column were available to mice for decision making. Coding of object location in the barrel cortex is therefore highly redundant.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20869600     DOI: 10.1016/j.neuron.2010.08.026

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  231 in total

Review 1.  Neuronal basis for object location in the vibrissa scanning sensorimotor system.

Authors:  David Kleinfeld; Martin Deschênes
Journal:  Neuron       Date:  2011-11-03       Impact factor: 17.173

2.  Reduction of motion artifacts during in vivo two-photon imaging of brain through heartbeat triggered scanning.

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Journal:  J Physiol       Date:  2012-04-16       Impact factor: 5.182

3.  Behavioral detection of passive whisker stimuli requires somatosensory cortex.

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4.  From cudgel to scalpel: toward precise neural control with optogenetics.

Authors:  Simon Peron; Karel Svoboda
Journal:  Nat Methods       Date:  2010-12-20       Impact factor: 28.547

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Journal:  Neuroscience       Date:  2020-02-13       Impact factor: 3.590

Review 6.  Improving data quality in neuronal population recordings.

Authors:  Kenneth D Harris; Rodrigo Quian Quiroga; Jeremy Freeman; Spencer L Smith
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

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Journal:  J Comp Neurol       Date:  2014-06-01       Impact factor: 3.215

8.  A corticothalamic switch: controlling the thalamus with dynamic synapses.

Authors:  Shane R Crandall; Scott J Cruikshank; Barry W Connors
Journal:  Neuron       Date:  2015-04-23       Impact factor: 17.173

9.  Plasticity of recurrent l2/3 inhibition and gamma oscillations by whisker experience.

Authors:  Yu R Shao; Brian R Isett; Toshio Miyashita; Jason Chung; Olivia Pourzia; Robert J Gasperini; Daniel E Feldman
Journal:  Neuron       Date:  2013-10-02       Impact factor: 17.173

10.  Membrane potential correlates of sensory perception in mouse barrel cortex.

Authors:  Shankar Sachidhanandam; Varun Sreenivasan; Alexandros Kyriakatos; Yves Kremer; Carl C H Petersen
Journal:  Nat Neurosci       Date:  2013-10-06       Impact factor: 24.884

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