Explores the quality of Integrate-and-Fire models in computational neuroscience through comparisons with experimental data and mathematical predictions.
Covers proteomic applications in neuroscience, focusing on targeted analysis of cortical neurons and their developmental interactions with striatal neurons.
Covers neuromorphic computing, challenges in ternary and binary computing, hardware simulations of the brain, and new materials for artificial brain cells.
Explores the control of movement, motor cortex characteristics, mirror neurons, brain-machine interfaces, and the role of basal ganglia in movement initiation and suppression.