کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
407659 678161 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automatic extracellular spike denoising using wavelet neighbor coefficients and level dependency
ترجمه فارسی عنوان
حذف انفجار سنبله خارج سلولی با استفاده از ضریب همسایه موجک و وابستگی سطح
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Extracellular spike denoising is a technical challenge because of large amounts of background noises and contributions of many neurons to recorded signals. In this paper, a wavelet denoising using neighbor coefficients and level dependency was proposed to separate spikes from background noise. This method is based on the inter- and intra-scale correlation of neighboring wavelet coefficients to select those that deviate from baseline noise. The performance of the method was evaluated in both simulated signals with different noise levels and real neural recordings from primary visual cortex of rat, and the results were compared with several previously proposed wavelet-based methods and the noisy spike signals. The results of simulated and real data show that the signal-to-noise ratio of spikes was considerably improved by the proposed method and the number of false positive was significantly reduced.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 149, Part C, 3 February 2015, Pages 1407–1414
نویسندگان
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