The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A fully-integrated 64-channel wireless neural interfacing SoC achieving 110 dB AFE PSRR and supporting 54 Mb/s symbol rate, meter-range wireless data transmission.
Abstract
This brief presents a 64-channel fully-integrated wireless neural interfacing SoC implemented in a 65 nm CMOS process. To minimize the weight and size of the head-stage connected to the small experimental animals, the system is designed to be powered by either a single-coil 13.56 MHz wireless power receiver or a small-sized button cell battery. A replica-biased 0.35 V 110 dB PSRR LNA is introduced to tolerate the power supply noise inherently in wireless power harvesting and save power consumption. The recorded neural data is transmitted wirelessly by a 2.4/3.2 GHz dual-band OOK transmitter, which supports 54 Mb/s symbol rate, 44 pJ/bit meter-range wireless data transmission. To reduce the transmission BER, forward error correction with convolutional code and cyclic redundancy code is adopted.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Due to the reservation of wired communication for the SPI interface, the circuit can only transmit unilateral wireless data (from inside to outside), which is not applicable for implantation.
“Due to the reservation of the wired communication for SPI interface, the circuit can only transmit unilateral wireless data (from inside to outside), which is not applicable for implantation.”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Lyu et al., 2020
A high energy-efficient wireless transmitter using dual-band on-off keying modulation supports 2.4-GHz and 3.2-GHz bands.
“Recently, a high energy-efficient wireless transmitter using dual-band on-off keying modulation has been proposed (Lyu et al., 2020), which supports 2.4-GHz and 3.2-GHz bands.”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Lyu et al., 2020
The frequency range of the VCO is from 2.39 to 3.75 GHz, covering the working frequency band of the transmitter.
“The frequency range of the VCO is from 2.39 to 3.75 GHz, covering the working frequency band of the transmitter.”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Lyu et al., 2020
The output carrier of the synthesizer is modulated by the coded data from the data processing unit (DPU).
“The output carrier of the synthesizer is modulated by the coded data from the data processing unit (DPU).”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Lyu et al., 2020
The structure based on the interfacing system-on-a-chip (SoC) mode achieves a transmission rate of 54 Mbps and a transmission distance of 4 m.
“This structure is based on the interfacing system-on-a-chip (SoC) mode, which achieves a transmission rate of 54 Mbps and a transmission distance of 4 m.”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Lyu et al., 2020
The data are sent to the DPA for amplification and finally transmitted to the SMD antenna for transmission.
“Then, the data are sent to the DPA for amplification, and finally transmitted to the SMD antenna for transmission.”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Lyu et al., 2020
The transmitter structure includes a fractional-N frequency synthesizer and a 6-bit Class-D digital power amplifier (DPA).
“The structure of the transmitter is shown in Figure 6C, including a fractional-N frequency synthesizer and a 6-bit Class-D digital power amplifier (DPA).”
From Advances in Neural Recording and Stimulation Integrated Circuits (2021) · cites this paper as Lyu et al., 2020
Citations
Cites
A Minimally Invasive 64-Channel Wireless μECoG Implant
Muller, R., Le, H., Li, W., Ledochowitsch, P., Gambini, S., Björninen, T., Koralek, A. C., Carmena, J. M., Maharbiz, M. M., Alon, E., et al. (2014) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2014.2364824 · Cited by 372
Kassiri, H., Bagheri, A., Soltani, N., Abdelhalim, K., Jafari, H. M., Salam, M. T., Velázquez, J. L. P., & Genov, R. (2016) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2016.2528999 · Cited by 117
Ye, D., Wang, Y., Xiang, Y., Lyu, L., Min, H., & Shi, C. ‐. R. (2019) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2019.2943871 · Cited by 56
Self-citationA Low Power Light Weight Wireless Multichannel Microsystem for Reliable Neural Recording
Borna, A., & Najafi, K. (2014) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2013.2293773 · Cited by 47
Lee, S.-Y., Tsou, C., Huang, P.-W., et al. (2019) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2019.8662385 · Cited by 28
24-channel dual-band wireless neural recorder with activity-dependent power consumption
Mitra, S., Putzeys, J., Battaglia, F. P., López, C. M., Welkenhuysen, M., Pennartz, C. M. A., Hoof, C. A. V., & Yazıcıoğlu, R. F. (2013) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2013.6487740 · Cited by 14
Lyu, L., Ye, D., & Shi, C. ‐. R. (2019) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2019.8702781 · Cited by 6
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- 2014, TBSI W64 System Manual Version 3 0
Cited by
Sorted by citations
Advances in Neural Recording and Stimulation Integrated Circuits
Li, J., Liu, X., Mao, W., Chen, T., & Yu, H. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.663204 · Cited by 21
Metadata
- Authors
- Lyu, L., Ye, D., Xu, R., Mu, G., Zhao, H., Xiang, Y., Tu, Y., Zhang, Y., & Shi, C.-J. R.
- Affiliations
- Fudan University (CN)
- University of Washington (US)
- ORCID
- Venue
- IEEE Transactions on Circuits and Systems II: Express Briefs
- Published
- 2020-05
- Volume
- 67
- Issue
- 5
- Pages
- 831-835
- ISSN
- 1549-7747 (ISSN-L)
- 1558-3791
- OpenAlex
- W3011741490
- Cited by
- 14
- References
- 7
- Citations by year
- 2026: 2 · 2023: 4 · 2022: 4 · 2021: 2 · 2020: 2
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Circuits & Systems II Express Briefs (publishedVersion)
- Funders
- Science and Technology Commission of Shanghai Municipality (16JC1420300, 2018SHZDZX01)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Radio Frequency Integrated Circuit Design
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- system-on-chip, low noise amplifier, power supply rejection ratio, wireless energy harvesting, low-power transmitter, convolutional codes, cyclic redundancy check, forward error correction, 65 nm CMOS
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review