Title :
A Reconfigurable Hebbian Eigenfilter for Neurophysiological Spike Train Analysis
Author :
Yu, Bo ; Mak, Terrence ; Li, XiangYu ; Xia, Fei ; Yakovlev, Alex ; Sun, Yihe ; Poon, Chi-Sang
Author_Institution :
Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
fDate :
Aug. 31 2010-Sept. 2 2010
Abstract :
The emergence of multi-electrode array enables the study of real-time neurophysiological activities across multiple regions of the brain. However, the real-time extracellular action potentials recorded on any electrode represent the simultaneous electrical activity of an unknown number of neurons which present a critical challenge to the accuracy of interpretation and identification of the neural circuitry in the subsequent analysis. In this paper, we present a principal component analysis approach utilizing Hebbian eigenfilter to identify the corresponding electrical activities of each neuron, namely spike sorting. The Hebbian eigenfilter greatly simplifies the computational complexity of eigen-projection. An efficient FPGA-based Hebbian eigenfilter is proposed. The performance, accuracy and power consumption of our Hebbian eigenfilter are thoroughly evaluated through synthetic spike trains. The proposal enables real-time spike sorting and analysis, and leads the way towards future motor and cognitive neuroprosthetics.
Keywords :
Hebbian learning; brain-computer interfaces; electroencephalography; field programmable gate arrays; neurophysiology; power consumption; principal component analysis; FPGA; Hebbian eigenfilter; brain; computational complexity; electrical activity; multi-electrode array; neural circuitry; neurons; neurophysiological spike train analysis; power consumption; principal component analysis; real-time extracellular action potentials; real-time spike sorting;
Conference_Titel :
Field Programmable Logic and Applications (FPL), 2010 International Conference on
Conference_Location :
Milano
Print_ISBN :
978-1-4244-7842-2
DOI :
10.1109/FPL.2010.109