Abstract
This paper investigates the relationship between Multi-Unit Activity (MUA) Binning Period (BP) and Brain-Computer Interface (BCI) decoding performance using Long-Short Term Memory decoders. The motivation is to determine whether lossy compression of MUA via increasing BP has any adverse consequences for BCI Behavioral Decoding Performance (BDP). The Neural data originates from intracortical recordings from Macaque Primary Motor cortex [1]. The BDP is measured by the Pearson correlation r between the observed and predicted velocity of the subject’s X-Y hand coordinates in reaching tasks [1]. The results suggest a statistically significant but slight linear relationship between increasing MUA BP and decreasing BDP. For example, when using a 100 ms moving average window, increasing the BP by 10 ms on average reduces the BDP r by approximately 0.85%. This relationship may be due to the reduced number of training examples, or due to the loss of Behavioral information because of reduced MUA temporal resolution.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
Oscar W. Savolainen is supported by an EPSRC DTP scholarship.
The authors are with the Department of Electrical and Electronic Engineering and the Centre for Bio-Inspired Technology, Imperial College London, SW7 2AZ, UK. Email: {o.savolainen18{at}imperial.ac.uk, t.constandinou{at}imperial.ac.uk}