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Explore the intersection of neuroscience and machine learning in this 33-minute webinar presented by Dr. Shreya Saxena, Assistant Professor at Yale University's Wu Tsai Institute and Biomedical Engineering department. Discover how machine learning techniques can be applied to understand neural control of complex, coordinated behavior by analyzing what the body reveals about brain function. Learn about interpretable modeling methods for neural and behavioral data, drawing from Dr. Saxena's extensive research background in sensorimotor control and neural engineering. Gain insights into automated approaches for quantifying behavior and understanding the neural mechanisms underlying movement and coordination. The presentation covers Dr. Saxena's work developing computational methods that bridge the gap between observable bodily movements and underlying neural processes, offering valuable perspectives for researchers in neuroscience, biomedical engineering, and machine learning applications in biological systems.
