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• W2053139615 startingPage "e355" @default.
• W2053139615 abstract "For close to half a century, neurophysiologists have been able to record electrical signals from the millions of individual neurons that compose even the smallest mammalian brain. Despite this long history, which has led to significant strides toward understanding how neuronal activity translates into brain function, much of the way electrophysiological data is gathered is more of an art form than a science. Reproducibility, a cornerstone of scientific progress, hasn't always been forthcoming when recording from individual neurons in the brain, largely because of the improbability or uncertainty that different investigators make their measurements from the same neurons or even the same select subpopulations of neurons. How does one put together the information about activity in single neurons that are recorded by different investigators in different ways? Further still, how does one combine this information with knowledge of the underlying circuitry to make sense of the firing patterns that underlie normal brain function? Progress will come largely from the ability to reproducibly record voltages, as well as other variables that define physiological function, from identified neuronal cell types. The ability to record from the same subpopulation of cells on a routine basis is the singular means to validate measurements across different laboratories and move electrophysiology beyond its current, largely anecdotal status." @default.
• W2053139615 created "2016-06-24" @default.
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• W2053139615 date "2005-10-11" @default.
• W2053139615 modified "2023-09-25" @default.
• W2053139615 title "From Art to Engineering? The Rise of In Vivo Mammalian Electrophysiology via Genetically Targeted Labeling and Nonlinear Imaging" @default.
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• W2053139615 doi "https://doi.org/10.1371/journal.pbio.0030355" @default.
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