Spatial co-adaptation of cortical control columns in a micro-ECoG brain-computer interface.

摘要: OBJECTIVE Electrocorticography (ECoG) has been used for a range of applications including electrophysiological mapping, epilepsy monitoring, and more recently as recording modality brain-computer interfaces (BCIs). Studies that examine ECoG electrodes designed implanted chronically solely BCI remain limited. The present study explored how two key factors influence chronic, closed-loop BCI: (i) the effect inter-electrode distance on performance (ii) differences in neural adaptation when fixed versus adaptive decoding weights are used. APPROACH amplitudes epidural micro-ECoG signals between 75 105 Hz with 300 μm diameter were one-dimensional two-dimensional tasks. control was tested 3 15 mm. Additionally, cortical modulation constant, using small subset channels entire array explored. MAIN RESULTS Successful possible separated by 9 Performance decreased became correlated only mm apart. 2D task improved significantly (80%-90%) compared to (50%-60%). increased previously unavailable under scheme upon switching adaptive, all-channel scheme. SIGNIFICANCE Our results clearly show activity electrode (which we define 'cortical column') readily adapts generate an appropriate signal. These practical minimal spatial resolution these columns is likely order they combination interaction machine learning critical optimizing performance.