An efficient analytical reduction of detailed nonlinear neuron models
نویسندگان
چکیده
منابع مشابه
Efficient estimation of detailed single-neuron models.
Biophysically accurate multicompartmental models of individual neurons have significantly advanced our understanding of the input-output function of single cells. These models depend on a large number of parameters that are difficult to estimate. In practice, they are often hand-tuned to match measured physiological behaviors, thus raising questions of identifiability and interpretability. We p...
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Huys, Quentin J. M., Misha B. Ahrens, and Liam Paninski. Efficient estimation of detailed single-neuron models. J Neurophysiol 96: 872– 890, 2006. First published April 26, 2006; doi:10.1152/jn.00079.2006. Biophysically accurate multicompartmental models of individual neurons have significantly advanced our understanding of the input–output function of single cells. These models depend on a lar...
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Realistic modeling of neurons are quite successful in complementing traditional experimental techniques. However, their networks require a computational power beyond the capabilities of current supercomputers, and the methods used so far to reduce their complexity do not take into account the key features of the cells nor critical physiological properties. Here we introduce a new, automatic and...
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A classic experimental approach in neuroscience is to study the spiking activity of individual neurons using microelectrodes inserted in the brain. The first step in the analysis of the data recorded with these electrodes is to detect the spikes of nearby neurons and classify their shapes into clusters corresponding to the firing of the different neurons, a procedure known as spike sorting. A v...
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ژورنال
عنوان ژورنال: Nature Communications
سال: 2020
ISSN: 2041-1723
DOI: 10.1038/s41467-019-13932-6