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Explores in silico experiments on the multi-scale brain, focusing on synaptic sensitivity, prediction of synchrony-asynchrony spectrum, and experimental validation.
Explores brain circuits for sensory perception and external representation, covering thalamus communication, energy-saving mechanisms, inhibitory control, and time perception.
Delves into the neural control of movement, focusing on spinal motor neurons and motor units, exploring techniques like EMG recordings and wearable neural interfaces.
Covers Parkinson's disease, its symptoms, diagnosis challenges, and current treatment options, emphasizing the need for early biomarkers and disease-modifying therapies.
Explores the control of movement, motor cortex characteristics, mirror neurons, brain-machine interfaces, and the role of basal ganglia in movement initiation and suppression.
Delves into simulating network dynamics in in silico neuroscience, covering spontaneous and evoked activity, in-vitro and in-vivo simulations, and sensitivity analysis.
