The emergence of micro-electrode array enables the study of real-time neurophysiological activities across multiple regions of the brain. However, the real-time extracellular voltage 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 talk, we present a principal component analysis approach utilizing Hebbian eigenfilter to identify the corresponding electrical activities to each neuron, or namely spike sorting. We designed Hebbian eigenfilter hardware by Xilinx System Generator and evaluated software and hardware using synthetic spike train.
published on: 18th July 2010