A Framework Design of Brain Interface Real Time Spike Sorting of Multichannel Neuronal Activity

Research Area: Volume 6,Issue 2, March 2017 Year: 2017
Type of Publication: Article Keywords: Spike Sorting, Brain Machine Interface, Multichannel Neuronal, Discrete Derivative Method
Authors:
  • WanYuan Huang
  • NanSong Wu
  • Liang Huang
Journal: IJEIR Volume: 6
Number: 2 Pages: 79-90
Month: March
ISSN: 2277-5668
Abstract:
Spike sorting is a primary and essential procedure for the realization of brain in the neuroscience and it provides a connection between the neural behavior and external behavior of animal for further application such as movement prediction and brain machine interface (BMI). With different objectives and improvement in implantable device technology, multichannel recording has become a standard tool for the research on neurophysiology. Besides, the accuracy of the spike sorting has crucial relations with the stability of the advanced application, and it would result in fatal influence for the application related to humans if the spike sorting was not reliable. A real-time and automatic spike sorting system for 16-channel neural recording based on hardware-software co-design is proposed in this study. The two-stage spike detection, combining the benefit of threshold method and nonlinear energy operator (NEO), is presented as the initial step of spike sorting process. The feature extraction in this study utilizes the discrete derivative method to improve the spike separation and chooses the principal component analysis to select few dominant features for reduction of indistinctive data. The single linkage method, with Mahalanobis distance as the distance metric, is used for spike clustering. The algorithms for this multichannel spike sorting system were verified and evaluated through simulations and experiments. There is a significant improvement for spike separation on feature space with the help of the discrete derivative method, and, thus, the accuracy of the spike sorting is enhanced on indistinguishable data set from the result. The proposed framework for real-time and automatic spike sorting of multichannel neuronal activity is feasible as the first step for neuroscientist to figure out the brain function of animals

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