Covers Parkinson's disease, its symptoms, diagnosis challenges, and current treatment options, emphasizing the need for early biomarkers and disease-modifying therapies.
Explores Parkinson's disease, covering its history, challenges in diagnosis, available treatments, neuropathological changes, and impact on motor control.
Covers neuromorphic computing, challenges in ternary and binary computing, hardware simulations of the brain, and new materials for artificial brain cells.
Explores the synergy between machine learning and neuroscience, showcasing how deep neural networks can predict neural responses and the challenges faced by AI in robotics.