Sep 15, 2007 · A new spike sorting method based on the support vector machine (SVM) is proposed to resolve the superposition problem.
A new spike sorting method based on the support vector machine (SVM) is proposed to resolve the superposition problem. The spike superposition is generally ...
A new spike sorting method based on the support vector machine (SVM) is proposed to resolve the superposition problem. The spike superposition is generally ...
Publications that cite this publication · A robust spike sorting method based on the joint optimization of linear discrimination analysis and density peaks.
In the following sections we describe a novel spike sorting architecture based on GiniSVM support vector machine clas- sification and probability regression [9] ...
Missing: multi- superposition
Oct 22, 2024 · We approach the task of learning to detect and classify spike waveforms in additive noise using two stages of large margin kernel classification ...
Spike sorting based on multi-class support vector machine with superposition resolution. Weidong Ding; Jingqi Yuan. Original Article 15 September 2007 Pages ...
Sep 15, 2022 · In this study, we propose a spike sorting method combining Linear Discriminant Analysis (LDA) and Density Peaks (DP) for feature extraction and clustering.
Spike sorting based on multi-class support vector machine with superposition resolution. Med. Biol. Eng. Comput. 2008;46:139–45. doi: 10.1007/s11517-007 ...
In this work, we review the basic concepts of spike sorting, including the requirements for different applications, together with the problems faced by ...