Nishal Shah

Abstract Understanding the cortical activity patterns driving dexterous upper limb motion has the potential to benefit a broad clinical population living with limited mobility through the development of novel brain-computer interface (BCI) technology.

Abstract How does the motor cortex combine simple movements (such as single finger flexion/extension) into complex movements (such as hand gestures, or playing the piano)? To address this question, motor cortical activity was recorded using intracortical multi-electrode arrays in two male people with tetraplegia as they attempted single, pairwise and higher-order finger movements.

Greedy temporal dithering was analyzed in Figures 2, 3, and 6 using calibrated responses to visual stimulation (stimulus reconstruction filter) and electrical stimulation (dictionary of single-electrode response probabilities). The stimulus reconstruction filter for each RGC was approximated using the scaled receptive field (Brackbill et al., 2020). Briefly, the receptive field was obtained by computing the spatial component of the rank 1 approximation of the STA.