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Deep Learning Improves Optical Imaging-Based BCI for Limb Control, with Seungbin Park

Neurocareers: Doing the Impossible!

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Decoding Neural Activity for Enhanced BCIs

This chapter explores the applications of optical imaging in brain-computer interfaces (BCIs) and the challenges posed by its partial invasiveness. It focuses on utilizing advanced imaging techniques and deep learning to decode limb movements from neural activity, highlighting significant findings related to the performance of neurons and the efficiency of targeting a single hemisphere. Additionally, the discussion emphasizes the unpredictable nature of neuroscience research and the importance of adaptability in scientific inquiry.

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