Anastasia Kapitonava

The paper investigates how motor cortex activity changes during observation of different anthropomorphic effectors, finding increased neural modulation with greater human-likeness of the observed agents.

This study analyzes neural activity in the precentral gyrus of two spinal cord injury patients to classify hand gestures with 70% accuracy, showing potential for intracortical BCI applications.

The paper shows that neural activity in human premotor cortex combines finger movements through pseudo-linear summation, with deviations that improve decoding performance.

The paper measures neural signal instability in long-term intracortical recordings to improve brain-computer interface performance through recalibration timing.

This study shows that co-occurring ripple oscillations enhance neuronal interactions between cortical locations in humans by facilitating prediction and co-firing of neurons.