Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/FPL.2010.109 | FPL |
Keywords | Field | DocType |
real-time spike,subsequent analysis,principal component analysis approach,real-time extracellular action,hebbian eigenfilter,reconfigurable hebbian eigenfilter,real-time neurophysiological activity,neurophysiological spike train analysis,corresponding electrical activity,efficient fpga-based hebbian eigenfilter,synthetic spike train,simultaneous electrical activity,neural circuitry,sorting,fpga,field programmable gate arrays,principal component analysis,computational complexity,real time,hebbian learning,hardware,accuracy,neurophysiology,brain computer interfaces,electroencephalography,action potential | Neuroprosthetics,Neurophysiology,Spike train,Spike sorting,Pattern recognition,Computer science,Brain–computer interface,Real-time computing,Sorting,Hebbian theory,Artificial intelligence,Biological neural network | Conference |
Citations | PageRank | References |
3 | 0.48 | 2 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Yu | 1 | 10 | 2.26 |
| Terrence Mak | 2 | 21 | 3.88 |
| Xiangyu Li | 3 | 27 | 10.25 |
| Fei Xia | 4 | 159 | 27.20 |
| Alex Yakovlev | 5 | 516 | 64.23 |
| Yihe Sun | 6 | 125 | 14.73 |
| Chi-Sang Poon | 7 | 54 | 10.88 |