An Area-Efficient Noise-Adaptive Neural Amplifier in 130 nm CMOS Technology
Abstract
Chronic recording of neural signals is indispensable in designing efficient brain-machine interfaces and to elucidate human neurophysiology. The advent of multichannel micro-electrode arrays has driven the need for electronics to record neural signals from many neurons. The dynamic range of the system can vary over time due to change in electrode-neuron distance and background noise. We propose a neural amplifier in UMC 130 nm, 1P8M complementary metal-oxide-semiconductor (CMOS) technology. It can be biased adaptively from 200 nA to 2 μA, modulating input referred noise from 9.92 μV to 3.9 μV. We also describe a low noise design technique which minimizes the noise contribution of the load circuitry. Optimum sizing of the input transistors minimizes the accentuation of the input referred noise of the amplifier and obviates the need of large input capacitance. The amplifier achieves a noise efficiency factor of 2.58. The amplifier can pass signal from 5 Hz to 7 kHz and the bandwidth of the amplifier can be tuned for rejecting low field potentials (LFP) and power line interference. The amplifier achieves a mid-band voltage gain of 37 dB. In vitro experiments are performed to validate the applicability of the neural low noise amplifier in neural recording systems.
Integrity signals
Registry
Cites
Statistics
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?
Another power-scheduling method is to adapt each amplifier channel's current consumption according to the background noise at its respective electrode.
“Therefore, another power-scheduling method is to adapt the current consumption of each amplifier channel according to the background noise present at the respective electrode [17, 122, 141].”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [17]
Cites
Design of Analog CMOS Integrated Circuits
Razavi, B. (1999) · Cited by 6,593 · see citing works
Operation and modeling of the MOS transistor
Tsividis, Y. (1987) · Cited by 3,162 · see citing works
Analog Integrated Circuit Design
Carusone, A. C., Johns, D. A., & Martin, K. W. (1996) · Cited by 2,509 · see citing works
Analog integrated circuit design
Hurst, S. L. (1998) · Microelectronics Journal · doi:10.1016/s0026-2692(97)00051-7 · Cited by 1,734 · see citing works
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 · see citing works
Intracellular Features Predicted by Extracellular Recordings in the Hippocampus In Vivo
Henze, D. A., Borhegyi, Z., Csicsvari, J., Mamiya, A., Harris, K. D., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.390 · Cited by 942 · see citing works
CMOS analog integrated circuits based on weak inversion operations
Vittoz, E. A., & Fellrath, J. (1977) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.1977.1050882 · Cited by 814 · see citing works
Analog MOS Integrated Circuits for Signal Processing
Gregorian, R., & Temes, G. C. (1986) · CERN Document Server (European Organization for Nuclear Research) · Cited by 810 · see citing works
Analog MOS integrated circuits for signal processing
Sedra, A. S. (1987) · Proceedings of the IEEE · doi:10.1109/proc.1987.13922 · Cited by 762 · see citing works
Nicolelis, M. A. L. (2001) · Nature · doi:10.1038/35053191 · Cited by 696 · see citing works
A 12-bit 75-MS/s pipelined ADC using open-loop residue amplification
Murmann, B., & Boser, B. E. (2003) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2003.819167 · Cited by 526 · see citing works
An Energy-Efficient Micropower Neural Recording Amplifier
Wattanapanitch, W., Fee, M., & Sarpeshkar, R. (2007) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2007.907868 · Cited by 441 · see citing works
A 1-V 450-nW fully integrated programmable biomedical sensor interface chip.
Zou, X., Xu, X., Yao, L., & Lian, Y. (2009) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2009.2014707 · Cited by 414 · see citing works
A 128-Channel 6 mW Wireless Neural Recording IC With Spike Feature Extraction and UWB Transmitter
Chae, M. S., Yang, Z., Yuce, M. R., Hoang, L., & Liu, W. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2021607 · Cited by 369 · see citing works
The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation Interface
Shahrokhi, F., Abdelhalim, K., Serletis, D., Carlen, P. L., & Genov, R. (2010) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2041350 · Cited by 263 · see citing works
Evaluation of Spike-Detection Algorithms for a Brain-Machine Interface Application
Iyad Obeid, A., & Wolf, P. D. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.826683 · Cited by 262 · see citing works
Ghovanloo, M., & Atluri, S. (2007) · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · doi:10.1109/tcsi.2007.905187 · Cited by 206 · see citing works
A Mixed-Signal Multichip Neural Recording Interface With Bandwidth Reduction
Gosselin, B. J., Ayoub, A. E., Roy, J.-F., Sawan, M., Leporé, F., Chaudhuri, A., & Guitton, D. (2009) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2009.2013718 · Cited by 203 · see citing works
Atluri, S., & Ghovanloo, M. (2006) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2006.1692789 · Cited by 195 · see citing works
256-Channel Neural Recording and Delta Compression Microsystem With 3D Electrodes
Aziz, J. N. Y., Abdelhalim, K., Shulyzki, R., Genov, R., Bardakjian, B. L., Derchansky, M., Serletis, D., & Carlen, P. L. (2009) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2008.2010997 · Cited by 184 · see citing works
Seese, T. M., Harasaki, H., Saidel, G. M., & Davies, C. R. (1998) · PubMed · Cited by 174 · see citing works
A Fully Integrated Neural Recording Amplifier With DC Input Stabilization
Mohseni, P., & Najafi, K. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.824126 · Cited by 173 · see citing works
An implantable CMOS circuit interface for multiplexed microelectrode recording arrays
Ji, J., & Wise, K. D. (1992) · IEEE Journal of Solid-State Circuits · doi:10.1109/4.121568 · Cited by 173 · see citing works
Tradeoffs and Optimization in Analog CMOS Design
Binkley, D. M. (2008) · Wiley eBooks · doi:10.1002/9780470033715 · Cited by 173 · see citing works
Integrated circuit amplifiers for multi-electrode intracortical recording
Jochum, T., Denison, T., & Wolf, P. D. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/1/012001 · Cited by 167 · see citing works
Energy Efficient Low-Noise Neural Recording Amplifier With Enhanced Noise Efficiency Factor
Majidzadeh, V., Schmid, A., & Leblebici, Y. (2011) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2078815 · Cited by 165 · see citing works
Azin, M., Guggenmos, D. J., Barbay, S., Nudo, R. J., & Mohseni, P. (2011) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2108770 · Cited by 164 · see citing works
1/f noise in CMOS transistors for analog applications
Nemirovsky, Y., Brouk, I., & Jakobson, C. G. (2001) · IEEE Transactions on Electron Devices · doi:10.1109/16.918240 · Cited by 163 · see citing works
A Micropower Low-Noise Neural Recording Front-End Circuit for Epileptic Seizure Detection
Qian, C., Parramon, J., & Sanchez-Sinencio, E. (2011) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2126370 · Cited by 145 · see citing works
A low-power integrated circuit for adaptive detection of action potentials in noisy signals
Harrison, R. R. (2004) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2003.1280856 · Cited by 138 · see citing works
A 0.013mm2 5μW DC-coupled neural signal acquisition IC with 0.5V supply
Muller, R., Gambini, S., & Rabaey, J. M. (2011) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2011.5746328 · Cited by 138 · see citing works
Reichert, W. M. (2007) · CRC Press eBooks · doi:10.1201/9781420009309 · Cited by 133 · see citing works
A Low-Noise Preamplifier with Adjustable Gain and Bandwidth for Biopotential Recording Applications
Yin, M., & Ghovanloo, M. (2007) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2007.378400 · Cited by 131 · see citing works
HermesC: Low-Power Wireless Neural Recording System for Freely Moving Primates
Chestek, C. A., Gilja, V., Nuyujukian, P., Kier, R. J., Solzbacher, F., Ryu, S. I., Harrison, R. R., & Shenoy, K. V. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2023293 · Cited by 130 · see citing works
Low-Power Circuits for Brain–Machine Interfaces
Sarpeshkar, R., Wattanapanitch, W., Arfin, S. K., Rapoport, B. I., Mandal, S., Baker, M. W., Fee, M. S., Musallam, S., & Andersen, R. A. (2008) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2008.2003198 · Cited by 91 · see citing works
A Biomedical Sensor Interface With a sinc Filter and Interference Cancellation
Bohorquez, J. L., Yip, M., Chandrakasan, A. P., & Dawson, J. L. (2011) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2108128 · Cited by 66 · see citing works
Effect of technology scaling on the 1/f noise of deep submicron PMOS transistors
Chew, K. W., Yeo, K. S., & Chu, S. ‐. (2004) · Solid-State Electronics · doi:10.1016/j.sse.2004.02.009 · Cited by 42 · see citing works
An electrical model of the cell-electrode interface for high-density microelectrode arrays
Joye, N., Schmid, A., & Leblebici, Y. (2008) · doi:10.1109/iembs.2008.4649214 · Cited by 42 · see citing works
An 11k-Electrode 126-Channel High-Density Microelectrode Array to Interact with Electrogenic Cells
Frey, U., Heer, F., Pedron, R., Hafizovic, S., Greve, F., Šedivý, J., Kirstein, K. ‐., & Hierlemann, A. R. (2007) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc.2007.373636 · Cited by 35 · see citing works
Flicker noise characteristics of advanced MOS technologies
Hung, K. K., Ko, P. K., Hu, C. C., et al. (2003) · Technical digest - International Electron Devices Meeting/Technical digest · doi:10.1109/iedm.1988.32743 · Cited by 27 · see citing works
A Low-Power Bioamplifier With a New Active DC Rejection Scheme
Gosselin, B. J., Ayoub, A. E., & Sawan, M. (2006) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2006.1693052 · Cited by 18 · see citing works
A Low-Noise Low-Power Noise-Adaptive Neural Amplifier in 0.13um CMOS Technology
Chaturvedi, V., & Amrutur, B. S. (2011) · International Conference on VLSI Design · doi:10.1109/vlsid.2011.41 · Cited by 12 · see citing works
Self-citationChronic Neural Recording with a 64-Channel Cortical Microsystem
Sodagar, A. M., Perlin, G. E., Yao, Y., Najafi, K., & Wise, K. D. (2007) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/cne.2007.369694 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Implantable neurotechnologies: a review of integrated circuit neural amplifiers
Ng, K. A., Greenwald, E., Xu, Y. P., & Thakor, N. V. (2016) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1431-3 · Cited by 83 · see citing works
Multi-Channel Neural Recording Implants: A Review
Hashemi Noshahr, F., Nabavi, M., & Sawan, M. (2020) · Sensors · doi:10.3390/s20030904 · Cited by 66 · see citing works
A Low Noise Amplifier for Neural Spike Recording Interfaces
Ruiz-Amaya, J., Rodriguez-Perez, A., & Delgado-Restituto, M. (2015) · Sensors · doi:10.3390/s151025313 · Cited by 23 · see citing works
- Authors
- Chaturvedi, V., & Amrutur, B.
- Affiliations
- Indian Institute of Science Bangalore (IN)
- Venue
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- Published
- 2011-12
- Volume
- 1
- Issue
- 4
- Pages
- 536-545
- ISSN
- 2156-3357 (ISSN-L)
- 2156-3365
- OpenAlex
- W2163493252
- Cited by
- 60
- References
- 43
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 5 · 2023: 4 · 2022: 6 · 2021: 4 · 2020: 4 · 2019: 4 · 2018: 5 · 2017: 5 · 2016: 3 · 2015: 8 · 2014: 2 · 2013: 4 · 2012: 1
- FWCI
- 1.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems (publishedVersion)
- NOT FOUND REPOSITORY (Indian Institute of Science Bangalore) (acceptedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Radio Frequency Integrated Circuit Design
- Keywords
- neural amplifier, input-referred noise, low noise amplifier, neural recording, microelectrode arrays, brain-computer interface, noise efficiency factor, transistor sizing, 130 nm CMOS, area-efficient design
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
