Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex

26 Mar 2018Jesse A. LivezeyKristofer E. BouchardEdward F. Chang

A fundamental challenge in neuroscience is to understand what structure in the world is represented in spatially distributed patterns of neural activity from multiple single-trial measurements. This is often accomplished by learning a simple, linear transformations between neural features and features of the sensory stimuli or motor task... (read more)

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