2014
DOI: 10.1155/2014/135026
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Circuit Models and Experimental Noise Measurements of Micropipette Amplifiers for Extracellular Neural Recordings from Live Animals

Abstract: Glass micropipettes are widely used to record neural activity from single neurons or clusters of neurons extracellularly in live animals. However, to date, there has been no comprehensive study of noise in extracellular recordings with glass micropipettes. The purpose of this work was to assess various noise sources that affect extracellular recordings and to create model systems in which novel micropipette neural amplifier designs can be tested. An equivalent circuit of the glass micropipette and the noise mo… Show more

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Cited by 12 publications
(14 citation statements)
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“…The noise model in Fig. 1 was expanded from our previously model in which a glass pipette electrode was used and without noises arisen from optogenetic control [44]. …”
Section: Optogenetics and Signal-to-noise Analysismentioning
confidence: 99%
See 2 more Smart Citations
“…The noise model in Fig. 1 was expanded from our previously model in which a glass pipette electrode was used and without noises arisen from optogenetic control [44]. …”
Section: Optogenetics and Signal-to-noise Analysismentioning
confidence: 99%
“…[44]. In short, a 1 Vpp sinusoidal voltage with a sweeping frequency from 1 to 5000 Hz was connected to a 10 MΩ resistor and the neural amplifier in series.…”
Section: Ic Design and Experimental Setupmentioning
confidence: 99%
See 1 more Smart Citation
“…Recording action potentials from neurons in the brain gives neuroscientists the ability to study neural circuits with single cell accuracy [1–6] Typically neural spikes (or action potentials) are recorded extracellularly with a metal or glass electrode inserted into the brain of an animal or a human patient [7,8]. By contrast, intracellular or patch clamp recordings with glass pipettes are much less common in vivo because pulsation, movement of brain tissue and electrode contamination make them very challenging.…”
Section: Introductionmentioning
confidence: 99%
“…The underlying principle of spike sorting relies on the fact that neural spikes originating from different neurons will have different temporal profiles. The temporal profiles of these neural spikes are dependent on the impedance of the extracellular fluid between the neurons and the electrode, the currents produced by each neuron, as well as the cell membrane area from which the ionic currents can reach the metal electrode [1,7,8].…”
Section: Introductionmentioning
confidence: 99%