The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
An Implantable 64-Channel Wireless Microsystem for Single-Unit Neural Recording
Abstract
This paper reports an implantable microsystem capable of recording neural activity simultaneously on 64 channels, wirelessly transmitting spike occurrences to an external interface. The microsystem also allows the user to examine the spike waveforms on any channel with 8 bit resolution. Signals are amplified by 60 dB with a programmable bandwidth fromrms. The channel scan rate for spike detection is 62.5 kS/sec using a 2 MHz clock. The system dissipates 14.4 mW at 1.8 V, weighs 275 mg, and measures 1.4 cm 1.55 cm.
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“Indeed, previous studies [53, 98, 128], which used either a symmetrical cascode OTA or a 2-stage Miller OTA, reported NEFs ranging from 4 to 17.”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [128]
Citations
Cites
A low-power low-noise cmos for amplifier neural recording applications
Harrison, R. R., & Charles, C. (2003) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2003.811979 · Cited by 1,695
A low-power integrated circuit for a wireless 100-electrode neural recording system.
Harrison, R. R., Watkins, P. T., Kier, R. J., Lovejoy, R. O., Black, D. J., Greger, B., & Solzbacher, F. (2007) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2006.886567 · Cited by 782
A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System
Harrison, R. R., Watkins, P., Kier, R. J., Lovejoy, R. O., Black, D., Normann, R. A., & Solzbacher, F. (2006) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2006.1696288 · Cited by 728
Wireless Implantable Microsystems: High-Density Electronic Interfaces to the Nervous System
Wise, K. D., Anderson, D. J., Hetke, J. F., Kipke, D. R., & Najafi, K. (2004) · Proceedings of the IEEE · doi:10.1109/jproc.2003.820544 · Cited by 656
Self-citationFlexible polyimide-based intracortical electrode arrays with bioactive capability
Rousche, P. J., Pellinen, D. S., Pivin, D. P., Williams, J. C., Vetter, R. J., & Kipke, D. R. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.914800 · Cited by 644
Maynard, E. M., Nordhausen, C. T., & Normann, R. A. (1997) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(96)95176-0 · Cited by 640
Schwartz, A. B. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144233 · Cited by 560
Massively Parallel Recording of Unit and Local Field Potentials With Silicon-Based Electrodes
Csicsvari, J., Henze, D. A., Jamieson, B., Harris, K. D., Sirota, A., Barthó, P., Wise, K. D., & Buzsáki, G. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00116.2003 · Cited by 402
Self-citationSpike Detection Using the Continuous Wavelet Transform
Nenadić, Z., & Burdick, J. W. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.839800 · Cited by 377
Reconstructing the Engram: Simultaneous, Multisite, Many Single Neuron Recordings
Nicolelis, M. A. L., Ghazanfar, A. A., Faggin, B. M., Votaw, S. V., & Oliveira, L. M. O. (1997) · Neuron · doi:10.1016/s0896-6273(00)80295-0 · Cited by 376
Research works printed but not linked: 2
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Cited by
Sorted by citations
Wireless Power Transfer Strategies for Implantable Bioelectronics
Agarwal, K., Jegadeesan, R., Guo, Y., & Thakor, N. V. (2017) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2017.2683520 · Cited by 549
Nanotools for Neuroscience and Brain Activity Mapping
Alivisatos, A. P., Andrews, A. M., Boyden, E. S., Chun, M., Church, G. M., Deisseroth, K. A., Donoghue, J. P., Fraser, S. E., Lippincott‐Schwartz, J., Looger, L. L., et al. (2013) · ACS Nano · doi:10.1021/nn4012847 · Cited by 359
Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys
Schwarz, D. A., Lebedev, M., Hanson, T., Dimitrov, D. F., Lehew, G., Meloy, J., Rajangam, S., Subramanian, V., Ifft, P. J., Li, Z., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2936 · Cited by 348
Shon, A., Chu, J., Jung, J., Kim, H., & Youn, I. (2017) · Sensors · doi:10.3390/s18010001 · Cited by 320
EEG-Based Brain-Computer Interfaces: A Thorough Literature Survey
Hwang, H.-J., Kim, S., Choi, S., & Im, C.-H. (2013) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2013.780869 · Cited by 257
Metadata
- Authors
- Sodagar, A. M., Perlin, G. E., Yao, Y., Najafi, K., & Wise, K. D.
- Affiliations
- University of Michigan (US)
- Venue
- IEEE Journal of Solid-State Circuits
- Published
- 2009-09
- Volume
- 44
- Issue
- 9
- Pages
- 2591-2604
- ISSN
- 0018-9200 (ISSN-L)
- OpenAlex
- W2144310300
- Cited by
- 218
- References
- 59
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 1 · 2023: 10 · 2022: 8 · 2021: 6 · 2020: 4 · 2019: 18 · 2018: 15 · 2017: 15 · 2016: 16 · 2015: 17 · 2014: 23 · 2013: 26 · 2012: 17
- FWCI
- 10.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Journal of Solid-State Circuits (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- implantable neural recording, single-unit recording, wireless data transmission, spike detection, low-power analog front-end
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