Unsupervised automatic online spike sorting using reward-based online clustering

Masoud Moghaddasi,Mahdi Aliyari Shoorehdeli,Zahra Fatahi,Abbas Haghparast

Biomedical Signal Processing and Control（2020）

Cited 8|Views8

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Abstract

•The novel method is Reward Based Online Clustering.•A modified method for feature extraction called Aligned First Derivative with just two features is proposed.•The graphical results for experimental data obtained from rat brain approve the efficiency of the proposed method.•In comparison to the other similar works the proposed method has more accurate clustering results.

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Key words

Brain-machine interfaces,Reward-based online clustering,Q-Learning,Spike sorting,Extracellular recording

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