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Improving data quality in neuronal population recordings
- Source :
- Nature Neuroscience. 19:1165-1174
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
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.
- Subjects :
- 0301 basic medicine
Computer science
media_common.quotation_subject
Action Potentials
Article
Field (computer science)
03 medical and health sciences
0302 clinical medicine
Optical imaging
Data accuracy
Animals
Humans
Quality (business)
Function (engineering)
Neuronal population
media_common
Neurons
Extramural
General Neuroscience
Optical Imaging
Brain
Data Accuracy
Electrophysiological Phenomena
030104 developmental biology
Data quality
Nerve Net
Neuroscience
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15461726 and 10976256
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Nature Neuroscience
- Accession number :
- edsair.doi.dedup.....25412f61355adb934247950740d59295