کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408590 679036 2007 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Linking non-binned spike train kernels to several existing spike train metrics
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Linking non-binned spike train kernels to several existing spike train metrics
چکیده انگلیسی

This work presents three kernel functions that can be used as inner product operators on non-binned spike trains, allowing the use of state-of-the-art classification techniques. One of the main advantages is that this approach does not require the spike trains to be binned. Thus a high temporal resolution is preserved which is needed when temporal coding is used. The kernels are closely related to several recent and often-used spike train metrics which take into account the biological variability of spike trains. It follows that the different existing metrics are unified by the spike train kernels presented.As a test of the classification potential of the new kernel functions, a jittered spike train template classification problem is solved.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 70, Issues 7–9, March 2007, Pages 1247–1253
نویسندگان
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