Ontology type: schema:MonetaryGrant
2013-2015
FUNDING AMOUNT4290000 JPY
ABSTRACTDevelopment of implantable neural interface devices is necessary to realize Brain-Machine Interface (BMI) systems, which are expected to enhance human's quality of life (QoL). This study is aimed at designing such devices with ultra-low power operation and small chip area for arrayed analog front-ends (AFEs), and a novel digital calibration scheme has been proposed. This technique can provide high-accuracy characteristic of AFEs, such as neural amplifiers or analog-to-digital converters (ADCs), without paying additional power and die area, and its effectiveness is confirmed through fabrication and evaluation of prototype chips in silicon CMOS technology. Furthermore, based on above techniques, an arrayed AFE LSI has been also designed and fabricated and these results will enable future multi-channel fully-implantable neural interface devices. More... »
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