4.7 Article

Reliable Next-Generation Cortical Interfaces for Chronic Brain-Machine Interfaces and Neuroscience

Journal

PROCEEDINGS OF THE IEEE
Volume 105, Issue 1, Pages 73-82

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPROC.2016.2574938

Keywords

Brain-machine interfaces; electrophysiology; neural interfaces; neurotechnology

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This review focuses on recent directions stemming from work by the authors and collaborators in the emerging field of neurotechnology. Neurotechnology has the potential to provide a greater understanding of the structure and function of the complex neural circuits in the brain, as well as impacting the field of brain-machine interfaces (BMI). We envision ultralow-power wireless neural interface systems that are life-lasting, fully integrated, and that supports bidirectional data flow with high bandwidth. Moreover, we believe in the importance of building neural interface technology that is truly tetherless, has a very small recording footprint, and little to no mechanical coupling between the sensor and the external world. We believe these developments will impact both neuroscience and neurology, revealing fundamental insight about how the nervous system functions in health and disease.

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