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

被引:35
|
作者
Maharbiz, Michel M. [1 ,2 ]
Muller, Rikky [1 ]
Alon, Elad [1 ]
Rabaey, Jan M. [1 ]
Carmena, Jose M. [2 ,3 ]
机构
[1] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, UCB UCSF Joint Grad Program Bioengn, Berkeley, CA 94720 USA
[3] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Helen Wills Neurosci Inst, Berkeley, CA 94720 USA
关键词
Brain-machine interfaces; electrophysiology; neural interfaces; neurotechnology; FLEXIBLE NEURAL PROBES; MU-W; HIGH-DENSITY; ELECTRODE ARRANGEMENTS; PARYLENE-C; POLYIMIDE; ARRAY; FRONT; MM(2);
D O I
10.1109/JPROC.2016.2574938
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:73 / 82
页数:10
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