Abstract
A digital-intensive, low-area, time-based ADC optimized for in-situ neural recording is fabricated in a 65nm test chip and validated with in-vivo data. The intrinsic inversely proportional gain of a beat frequency based quantizer allows recording of sub-millivolt neural signals without any sophisticated amplifiers or filters. A low-area analog-front-end (AFE) is implemented with a standard digital logic inverter transimpedance amplifier and tunable low pass and high pass filters. The test chip achieves 20.9dB SNDR for a 1mVpp input at 416Hz with a bandwidth of 4.2 kHz and consumes 52μW at 0.8V. In-vivo evoked potentials and spontaneous activity were measured directly from a mouse cerebellum without any external components, validating the efficacy of the aggressive tradeoffs. These results are achieved in an area of 0.0094mm 2 /channel, including on-chip AC coupling and filter passives, which makes this an attractive architecture for complete integration in ultra-high channel count neural recording systems.
| Original language | English (US) |
|---|---|
| Title of host publication | 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538636039 |
| DOIs | |
| State | Published - Dec 20 2018 |
| Event | 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Cleveland, United States Duration: Oct 17 2018 → Oct 19 2018 |
Publication series
| Name | 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings |
|---|
Other
| Other | 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 |
|---|---|
| Country/Territory | United States |
| City | Cleveland |
| Period | 10/17/18 → 10/19/18 |
Bibliographical note
Funding Information:This research was supported in part by NSF IGERT grant DGE-1069104 and NIH grant NS 18338.
Funding Information:
ACKNOWLEDGEMENTS: This research was supported in part by NSF IGERT grant DGE-1069104 and NIH grant NS 18338.
Publisher Copyright:
© 2018 IEEE.
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