Comput Methods Programs Biomed - In quest of the missing neuron: spike sorting based on dominant-sets clustering.

Tópicos

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Resumo

Spike sorting algorithms aim at decomposing complex extracellular signals to independent events from single neurons in the electrode's vicinity. The decision about the actual number of active neurons is still an open issue, with sparsely firing neurons and background activity the most influencing factors. We introduce a graph-theoretical algorithmic procedure that successfully resolves this issue. Dimensionality reduction coupled with a modern, efficient and progressively executable clustering routine proved to achieve higher performance standards than popular spike sorting methods. Our method is validated extensively using simulated data for different levels of SNR.

Resumo Limpo

spike sort algorithm aim decompos complex extracellular signal independ event singl neuron electrod vicin decis actual number activ neuron still open issu spars fire neuron background activ influenc factor introduc graphtheoret algorithm procedur success resolv issu dimension reduct coupl modern effici progress execut cluster routin prove achiev higher perform standard popular spike sort method method valid extens use simul data differ level snr

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