By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.
Delves into simulating network dynamics in in silico neuroscience, covering spontaneous and evoked activity, in-vitro and in-vivo simulations, and sensitivity analysis.
Explores the control of movement, motor cortex characteristics, mirror neurons, brain-machine interfaces, and the role of basal ganglia in movement initiation and suppression.
Covers Parkinson's disease, its symptoms, diagnosis challenges, and current treatment options, emphasizing the need for early biomarkers and disease-modifying therapies.
