Fig. 8: Comparison of the SNN classification performance with respect to 6 spike-sorting algorithms. | Nature Communications

Fig. 8: Comparison of the SNN classification performance with respect to 6 spike-sorting algorithms.

From: A frugal Spiking Neural Network for unsupervised multivariate temporal pattern classification and multichannel spike sorting

Fig. 8: Comparison of the SNN classification performance with respect to 6 spike-sorting algorithms.

For all methods, three metrics are considered: accuracy, precision and recall. For each recording and metric, the present SNN-based approach (red) is compared to the worst (blue) and best (green) performances across the 6 classifiers from SpikeForest. a Original data encoding for the SNN approach identical for all datasets. b Data encoding optimized for each dataset.

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