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Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Explores non-polarized and polarized electrode behavior, Ag-AgCl electrode applications, impedance modeling, and ECG electrode types for monitoring and stimulation.
Explores the potential of graphene in developing efficient neural interfaces with the nervous system, addressing current challenges and discussing various graphene-based technologies.
