کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
404413 677422 2010 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimization of population decoding with distance metrics
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Optimization of population decoding with distance metrics
چکیده انگلیسی

Recent advances in multi-electrode recording and imaging techniques have made it possible to observe the activity of large populations of neurons. However, to take full advantage of these techniques, new methods for the analysis of population responses must be developed. In this paper, we present an algorithm for optimizing population decoding with distance metrics. To demonstrate the utility of this algorithm under experimental conditions, we evaluate its performance in decoding both population spike trains and calcium signals with different correlation structures. Our results demonstrate that the optimized decoder outperforms other simple population decoders and suggest that optimization could serve as a tool for quantifying the potential contribution of individual cells to the population code.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 23, Issue 6, August 2010, Pages 728–732
نویسندگان
, , , , ,