Tetrode (biology): Difference between revisions
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{{Short description|Type of electrode}} |
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A '''tetrode''' is a type of electrode used in [[neuroscience]] for [[electrophysiology|electrophysiological]] recordings. They are generally used to record the [[extracellular field potential]]s from nervous tissue, e.g. the [[brain]]. Tetrodes are constructed by bundling together |
A '''tetrode''' is a type of [[electrode]] used in [[neuroscience]] for [[electrophysiology|electrophysiological]] recordings. They are generally used to record the [[extracellular field potential]]s from nervous tissue, e.g. the [[brain]]. Tetrodes are constructed by bundling together four very small electrodes; each wire is generally less than 30 μm in diameter. Tetrodes are used to classify extra-cellular [[action potential]]s into sets generated by the individual neurons, as each channel of the tetrode is usually close enough to a cell such that action potentials emitted by that cell are detected on each of the four channels, but because of the spatial distribution of the individual channels, the amplitude of the signal varies across the four channels. Tetrodes can be built into an implantable device called [[micro-drive]] that moves them up and down with precision in the brain of experimental animals <ref>{{cite journal | vauthors = Rangel Guerrero DK, Donnett JG, Csicsvari J, Kovács KA | title = Tetrode Recording from the Hippocampus of Behaving Mice Coupled with Four-Point-Irradiation Closed-Loop Optogenetics: A Technique to Study the Contribution of Hippocampal SWR Events to Learning | journal = eNeuro | volume = 5 | issue = 4 | pages = e0087-18.2018 1–15 | date = September 2018 | pmid = 30225344 | doi = 10.1523/ENEURO.0087-18.2018 | pmc = 6140106 | url = https://www.eneuro.org/content/eneuro/5/4/ENEURO.0087-18.2018.full.pdf }}</ref> |
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== Clustering == |
== Clustering == |
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Clustering techniques involve both examining the waveform of individual spikes, and examining the spike height across all four channels. |
Clustering techniques involve both examining the waveform of individual spikes, and examining the spike height across all four channels. |
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== Principal component analysis == |
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This technique involves examining the spikes at reduced dimensionality to find its similarity with other spikes. |
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==See also== |
==See also== |
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* [[Tetrode transistor]] |
* [[Tetrode transistor]] |
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==References== |
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{{Reflist}} |
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[[Category:Neuroscience]] |
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[[Category:Electrophysiology]] |
[[Category:Electrophysiology]] |
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[[Category:Neurophysiology]] |
[[Category:Neurophysiology]] |
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Latest revision as of 15:57, 22 October 2024
A tetrode is a type of electrode used in neuroscience for electrophysiological recordings. They are generally used to record the extracellular field potentials from nervous tissue, e.g. the brain. Tetrodes are constructed by bundling together four very small electrodes; each wire is generally less than 30 μm in diameter. Tetrodes are used to classify extra-cellular action potentials into sets generated by the individual neurons, as each channel of the tetrode is usually close enough to a cell such that action potentials emitted by that cell are detected on each of the four channels, but because of the spatial distribution of the individual channels, the amplitude of the signal varies across the four channels. Tetrodes can be built into an implantable device called micro-drive that moves them up and down with precision in the brain of experimental animals [1]
Clustering
[edit]Clustering techniques involve both examining the waveform of individual spikes, and examining the spike height across all four channels.
Principal component analysis
[edit]This technique involves examining the spikes at reduced dimensionality to find its similarity with other spikes.
See also
[edit]References
[edit]- ^ Rangel Guerrero DK, Donnett JG, Csicsvari J, Kovács KA (September 2018). "Tetrode Recording from the Hippocampus of Behaving Mice Coupled with Four-Point-Irradiation Closed-Loop Optogenetics: A Technique to Study the Contribution of Hippocampal SWR Events to Learning" (PDF). eNeuro. 5 (4): e0087-18.2018 1–15. doi:10.1523/ENEURO.0087-18.2018. PMC 6140106. PMID 30225344.
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