A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is
The previous decoding algorithms for Brain Machine Interfaces are normally utilized to estimate animal's movement from binned spike rates, which loses spike timing resolution and may exclude rich neural dynamics due to single spikes. Based on recently proposed Monte Carlo sequential estimation algorithm on point process, we present a decoding framework to reconstruct the kinematic states directly from the multi-channel spike trains. Starting with analysis on the differences between thedoi:10.1109/ijcnn.2006.246904 dblp:conf/ijcnn/WangPP06 fatcat:hbxhobp65rfrtm4com32huanj4