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Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Explores the importance of real-time sensory feedback in enhancing the control and functional impact of prosthetic hands through various neuroengineering methods.
Delves into mechanosensory interactions driving collective behavior in Drosophila, exploring odor responses, group movement, and touch-triggered reactions.
