Spike sorting in multi-channel extracellular recordings of retinas

Spike sorting is a prerequisite for studying the multi-channel extracellular recordings. A new method is developed for spike sorting in multi-channel extracellular recordings of retinas. Based on the assumption that noise follows Gaussian distribution, spike templates are constructed based on principal component analysis and subtractive clustering, then a template matching procedure is applied to choose the best-fit template or templates combination for overlapping spikes so that after subtracting the template or templates combination from the spike event, the sum of squared residue follows Chi-square distribution. Artificial spike trains are used to assess the performance of the proposed method.

[1]  J. Letelier,et al.  Spike sorting based on discrete wavelet transform coefficients , 2000, Journal of Neuroscience Methods.

[2]  Rajesh N. Davé,et al.  Robust clustering methods: a unified view , 1997, IEEE Trans. Fuzzy Syst..

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

[4]  M S Lewicki,et al.  A review of methods for spike sorting: the detection and classification of neural action potentials. , 1998, Network.

[5]  J. Csicsvari,et al.  Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. , 2000, Journal of neurophysiology.

[6]  Gilles Laurent,et al.  Using noise signature to optimize spike-sorting and to assess neuronal classification quality , 2002, Journal of Neuroscience Methods.

[7]  Markus Meister,et al.  Multi-neuronal signals from the retina: acquisition and analysis , 1994, Journal of Neuroscience Methods.

[8]  R. Reid,et al.  Synchronous activity in the visual system. , 1999, Annual review of physiology.

[9]  D. C. Tam,et al.  Multi-unit spike discrimination using wavelet transforms , 1997, Comput. Biol. Medicine.

[10]  George Zouridakis,et al.  Identification of reliable spike templates in multi-unit extracellular recordings using fuzzy clustering , 2000, Comput. Methods Programs Biomed..

[11]  Yi Zhou,et al.  Chicken retinal ganglion cells response characteristics: multi-channel electrode recording study , 2003, Science in China Series C: Life Sciences.

[12]  A.F. Atiya,et al.  Recognition of multiunit neural signals , 1992, IEEE Transactions on Biomedical Engineering.

[13]  D. Dacey,et al.  This paper was presented at a colloquium entitled ‘ ‘ Vision : From Photon to Perception , ’ ’ organized by , 1998 .