Delves into simulating network dynamics in in silico neuroscience, covering spontaneous and evoked activity, in-vitro and in-vivo simulations, and sensitivity analysis.
Delves into the neural control of movement, focusing on spinal motor neurons and motor units, exploring techniques like EMG recordings and wearable neural interfaces.
Discusses assembling neural networks by defining space and populating it with neurons, emphasizing the challenges and strategies for accurate morphologies and volume information.
