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Improving data quality in neuronal population recordings

Harris, KD; Quian Quiroga, R; Freeman, J; Smith, S; (2016) Improving data quality in neuronal population recordings. Nature Neuroscience , 19 (9) pp. 1165-1174. 10.1038/nn.4365. Green open access

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Abstract

Understanding how the brain operates requires understanding how large sets of neurons function together. Modern recording technology makes it possible to simultaneously record the activity of hundreds of neurons, and technological developments will soon allow recording of thousands or tens of thousands. As with all experimental techniques, these methods are subject to confounds that complicate the interpretation of such recordings, and could lead to erroneous scientific conclusions. Here we discuss methods for assessing and improving the quality of data from these techniques and outline likely future directions in this field.

Type: Article
Title: Improving data quality in neuronal population recordings
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/nn.4365
Publisher version: http://dx.doi.org/10.1038/nn.4365
Language: English
Additional information: Copyright © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. The final publication is available at Nature Neuroscience via http://dx.doi.org/10.1038/nn.4365
Keywords: Electrophysiology; Optical imaging
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Department of Neuromuscular Diseases
URI: https://discovery.ucl.ac.uk/id/eprint/1503924
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