Mazen Al Borno

This paper uses a computational model to study how coordinated reset stimulation can reduce neuronal synchrony in Parkinson's disease by adjusting synaptic weights through spike-timing-dependent plasticity.

This paper develops a biomechanical model of the mouse distal forelimb to simulate fine motor control and validate it against experimental data.

This study compares vibrotactile stimulation to combined visual and auditory stimulation for 40 Hz gamma entrainment, finding that vibrotactile stimulation evokes 40 Hz EEG responses and is preferred by participants.

This study examines how vibrotactile stimulation affects sensation and perception in the upper extremity, finding voltage correlates with intensity but not pleasantness, and location and movement impact perception.

The paper develops a biomechanical model of the mouse forelimb to predict muscle activity during reaching movements, finding strong similarity between simulated and empirical muscle patterns.

The paper introduces a high-fidelity musculoskeletal model of reaching movements that reproduces Fitts law without signal-dependent noise, suggesting the speed-accuracy tradeoff arises from motor planning variability and optimal control theory.