ArticleBioMed research international2014
Circuit models and experimental noise measurements of micropipette amplifiers for extracellular neural recordings from live animals.
Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- A fully automatic multichannel neural spike sorting algorithm with spike reduction and positional feature.Journal of neural engineering · 2024Article
- Proof of Concept for Sustainable Manufacturing of Neural Electrode Array for In Vivo Recording.Biosensors · 2023Article
- Double-Sided Sapphire Optrodes with Conductive Shielding Layers to Reduce Optogenetic Stimulation Artifacts.Micromachines · 2022Article
- Influence of the Surface Material and Illumination upon the Performance of a Microelectrode/Electrolyte Interface in Optogenetics.Micromachines · 2021Article
- Synaptic Plasticity in Memristive Artificial Synapses and Their Robustness Against Noisy Inputs.Frontiers in neuroscience · 2021Article
- Low-latency single channel real-time neural spike sorting system based on template matching.PloS one · 2019Article
- An Integrated Circuit for Simultaneous Extracellular Electrophysiology Recording and Optogenetic Neural Manipulation.IEEE transactions on bio-medical engineering · 2017Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
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 model of this circuit, which accurately describe the various noise sources involved in extracellular recordings, have been developed. Measurement schemes using dead brain tissue as well as extracellular recordings from neurons in the inferior colliculus, an auditory brain nucleus of an anesthetized gerbil, were used to characterize noise performance and amplification efficacy of the proposed micropipette neural amplifier. According to our model, the major noise sources which influence the signal to noise ratio are the intrinsic noise of the neural amplifier and the thermal noise from distributed pipette resistance. These two types of noise were calculated and measured and were shown to be the dominating sources of background noise for in vivo experiments.
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Registered trials
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