Spike Feature Extraction Using Informative Samples

This paper presents a spike feature extraction algorithm that targets real-time spike sorting and facilitates miniaturized microchip implementation. The proposed algorithm has been evaluated on synthesized waveforms and experimentally recorded sequences. When compared with many spike sorting approaches our algorithm demonstrates improved speed, accuracy and allows unsupervised execution. A preliminary hardware implementation has been realized using an integrated microchip interfaced with a personal computer.

[1]  G. Buzsáki,et al.  Pattern and inhibition-dependent invasion of pyramidal cell dendrites by fast spikes in the hippocampus in vivo. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[2]  Zhi Yang,et al.  A neuron signature based spike feature extraction algorithm for on-chip implementation. , 2008, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

[3]  R. Quian Quiroga,et al.  Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering , 2004, Neural Computation.

[4]  Liang-Gee Chen,et al.  NEUSORT2.0: A multiple-channel neural signal processor with systolic array buffer and channel-interleaving processing schedule , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  I. Jolliffe.  Principal Component Analysis , 2002 .

[6]  Qi Zhao,et al.  Neural signal classification using a simplified feature set with nonparametric clustering , 2009, Neurocomputing.

[7]  Michael S. Lewicki.  Bayesian Modeling and Classification of Neural Signals , 1993, NIPS 1993.

[8]  John P. Donoghue,et al.  Automated spike sorting using density grid contour clustering and subtractive waveform decomposition , 2007, Journal of Neuroscience Methods.

[9]  K.V. Shenoy,et al.  Power feasibility of implantable digital spike sorting circuits for neural prosthetic systems , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[10]  Michael S. Lewicki,et al.  Bayesian Modeling and Classification of Neural Signals , 1993, Neural Computation.

[11]  Moo Sung Chae,et al.  A 128-Channel 6mW Wireless Neural Recording IC with On-the-Fly Spike Sorting and UWB Tansmitter , 2008, 2008 IEEE International Solid-State Circuits Conference - Digest of Technical Papers.

[12]  J. F. Kaiser,et al.  On a simple algorithm to calculate the 'energy' of a signal , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[13]  Yoshio Sakurai,et al.  Coding of spatial information by soma and dendrite of pyramidal cells in the hippocampal CA1 of behaving rats , 2007, The European journal of neuroscience.