Fig. 8

Overall classification accuracy of the decoder output when using different features as input across the entire study. a, b Each data point shows the overall accuracy from an experimental day, and the line is the LOESS regression of all the discrete data points across time. In Task 1 and Task 2, using mf-MWP and MUA features as input, it consistently generated the highest overall accuracy throughout the entire phase of the study (Statistical analysis indicates difference between the two overall accuracy time series were non-significant). c The averaged overall accuracy of the study was significantly higher (* indicates p < 0.001, n = 62 in Task1, and n = 64 in Task2) when using mf-MWP and MUA as input into the decoders, compared to those using lf-MWP, hf-MWP, LFP or TCs features as decoder input. Each error bar shows the standard deviation of the accuracy time series for a feature