• A bioRxiv Neuroscience preprint proposes a hierarchy of supported modules (HSM) to highlight spatiotemporal structure in neural recordings and represent error states.1
  • Erroneous behaviors and other abnormal brain states are generally difficult to represent directly from neural data despite carrying specific spatiotemporal features.1
  • By emphasizing spatiotemporal patterns, HSM may more effectively represent abnormal states and help evaluate abnormal brain function.1
  • Potential applications include BCI decoding, anomaly detection, and closed-loop safety monitoring.1
  • The work is method-focused, with a clear signal-processing path (DOI path 10.64898/2026.07.04.736476v1).1 1

Footnotes

  1. https://www.biorxiv.org/content/10.64898/2026.07.04.736476v1?rss=1 2 3 4 5 6