The DOI matches its Crossref record; 117 of the 121 references it cites were found in a registry or an index.
Sensors and Decoding for Intracortical Brain Computer Interfaces
Open accessAbstract
Intracortical brain computer interfaces (iBCIs) are being developed to enable people to drive an output device, such as a computer cursor, directly from their neural activity. One goal of the technology is to help people with severe paralysis or limb loss. Key elements of an iBCI are the implanted sensor that records the neural signals and the software that decodes the user's intended movement from those signals. Here, we focus on recent advances in these two areas, placing special attention on contributions that are or may soon be adopted by the iBCI research community. We discuss how these innovations increase the technology's capability, accuracy, and longevity, all important steps that are expanding the range of possible future clinical applications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Discrete-Time Signal Processing
Oppenheim, A. V., & Schafer, R. W. (1989) · Cited by 11,808
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
Buzsáki, G., Anastassiou, C. A., & Koch, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3241 · Cited by 4,225
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Hochberg, L. R., Serruya, M. D., Friehs, G. M., Mukand, J. A., Saleh, M., Caplan, A. H., Branner, A., Chen, D., Penn, R. D., & Donoghue, J. P. (2006) · Nature · doi:10.1038/nature04970 · Cited by 3,295
Self-citationNeuronal Population Coding of Movement Direction
Georgopoulos, A. P., Schwartz, A. B., & Kettner, R. E. (1986) · Science · doi:10.1126/science.3749885 · Cited by 3,219
Estimating the Prevalence of Limb Loss in the United States: 2005 to 2050
Ziegler‐Graham, K., MacKenzie, E. J., Ephraim, P. L., Travison, T. G., & Brookmeyer, R. (2008) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2007.11.005 · Cited by 2,951
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., Haddadin, S., Liu, J., Cash, S. S., van der Smagt, P., et al. (2012) · Nature · doi:10.1038/nature11076 · Cited by 2,719
Self-citationTargeting Recovery: Priorities of the Spinal Cord-Injured Population
Anderson, K. D. (2004) · Journal of Neurotrauma · doi:10.1089/neu.2004.21.1371 · Cited by 2,094
High-performance neuroprosthetic control by an individual with tetraplegia
Collinger, J. L., Wodlinger, B., Downey, J. E., Wang, W., Tyler-Kabara, E. C., Weber, D. J., McMorland, A. J., Velliste, M., Boninger, M. L., & Schwartz, A. B. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61816-9 · Cited by 1,848
Localization of the motor hand area to a knob on the precentral gyrus. A new landmark
Yousry, T. A. (1997) · Brain · doi:10.1093/brain/120.1.141 · Cited by 1,840
Research works printed but not linked: 14
- Christopher & Dana Reeve (CDR) Found, 2009, One Degree of Separation: Paralysis and Spinal Cord Injury in the United States.
- Burrow M, 1997, Proc. Int. Conf. Rehabil. Robot. (ICORR), 83
- Humphrey DR, 1997, Cortical control of neural prosthetic devices.
- Kim SP, 2006, IEEE/RAS-EMBS Int. Conf. Biomed. Robot. Biomechatron., 811
- Shpigelman L, 2009, Adv. Neural Inf. Proc. Syst., 21, 1489
- Malik WQ, 2010, Neurosci. Meet. Plan.
- Feldman JM, 2011, Neurosci. Meet Plan.
- Chao ZC, 2010, Front. Neuroeng., 3, 3
- Fisher J, 2005, Conf. Proc. IEEE Eng. Med. Biol. Soc., 2, 2130
- Gao Y, 2002, Adv. Neural Inf. Proc. Syst., 1, 213
- Wood F, 2005, Conf. Proc. IEEE Eng. Med. Biol. Soc., 1, 149
- Baker J, 2009, Conf. Proc. IEEE Eng. Med. Biol. Soc., 2009, 4573
- Perge JA, 2010, Neurosci. Meet. Plan.
- Li Z, 2010, Neurosci. Meet. Plan.
Cited by
Sorted by citations
Items 101–121 of 121
Wu, Y., Hernández, M. F., Lei, T., Jayakumar, S., Lalapet, R. R., Joshi‐Imre, A., Orazem, M. E., Otto, K. J., & Cogan, S. F. (2024) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc53108.2024.10781914 · Cited by 1
A neuroscientific hypothesis on the physical nature of consciousness
Ukachoke, C. (2026) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2026.1758344 · Cited by 1
Swanson, E., Dohle, E., Bashford, L., Horsfall, H. L., Jovanovic, L., Muirhead, W. R., & Brannigan, J. (2026) · Journal of Neural Engineering · doi:10.1088/1741-2552/ae7694 · Cited by 2
Neural decoding in motor cortex using state space models with hidden states
Wu, W. L., & Liu, S. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781139941433.010 · Cited by 1
Hari, R., & Puce, A. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780190497774.003.0021 · Cited by 1
Kennedy, P., & Cervantes, A. J. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.864983 · Cited by 1
Bridging Mind and Machine: Large Language Models in Next Generation Brain Computer Interfaces
Agnihotram, G., Sarkar, J., & Kasthuri, M. (2025) · American Journal of Computer Science and Technology · doi:10.11648/j.ajcst.20250803.14 · Cited by 1
Decoding movement information from cortical activity for invasive BMIs
Kim, M., & Kim, S.-P. (2018) · International Winter Conference on Brain-Computer Interface (BCI) · doi:10.1109/iww-bci.2018.8311504 · Cited by 1
Intracortical microstimulation for tactile feedback in awake behaving rats
Devecıoğlu, İ., Öztürk, S., & Güçlü, B. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822828-9.00013-7 · Cited by 1
Moving through language: a behavioural and linguistic analysis of spatial mental model construction.Preprint
Parente, F. (2018) · Thesis Commons (OSF Preprints) · doi:10.31237/osf.io/8a2g5 · Cited by 1
Badreldin, I. S., & Oweiss, K. G. (2014) · Springer eBooks · doi:10.1007/978-1-4614-7320-6_559-1 · Cited by 1
Comparative study of ultra-miniature RF coupling structures for intrabody networking applications
Sarker, S., Nurmikko, A. V., & Larson, L. E. (2014) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2014.6981796
Self-citationMinimum-error, energy-constrained source coding by sensory neurons
Johnson, E. C. (2016) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
Bryson, J. B., & Greensmith, L. (2017) · Cambridge University Press eBooks · doi:10.1017/9781107281875.023
Low-power machine learners for implantable decoding
Shaikh, S. D. (2021) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/146463
Seeck, M., & Schomer, D. L. (2017) · doi:10.1093/med/9780190228484.003.0029
Badreldin, I. S., & Oweiss, K. G. (2015) · Springer eBooks · doi:10.1007/978-1-4614-6675-8_559
Badreldina, I. S., & Oweiss, K. G. (2022) · Springer eBooks · doi:10.1007/978-1-0716-1006-0_559
Colachis, S. C., Ganzer, P. D., Friedenberg, D. A., & Sharma, G. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_119
Thapa, B. R., Boggess, J., & Bae, J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.09.653170
Possa, A. A. (2025) · SpringerBriefs in law · doi:10.1007/978-3-031-92002-8_2
Metadata
- Authors
- Homer, M. L., Nurmikko, A. V., Donoghue, J. P., & Hochberg, L. R.
- Affiliations
- Biomedical Engineering,
- School of Engineering,
- Brown University (US)
- Harvard University (US)
- Venue
- Annual Review of Biomedical Engineering
- Publisher
- Annual Reviews
- Published
- 2013-07-11
- Volume
- 15
- Issue
- 1
- Pages
- 383-405
- ISSN
- 1523-9829 (ISSN-L)
- 1545-4274
- PMC
- PMC3985135
- OpenAlex
- W2165100436
- Cited by
- 121
- References
- 121
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 7 · 2023: 9 · 2022: 10 · 2021: 9 · 2020: 12 · 2019: 7 · 2018: 10 · 2017: 9 · 2016: 16 · 2015: 14 · 2014: 11
- FWCI
- 1.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual Review of Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Deafness and Other Communication Disorders (R01DC009899)
- National Institute of Neurological Disorders and Stroke (R01NS025074)
- National Institute of Biomedical Imaging and Bioengineering (R01EB007401)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- intracortical brain-computer interfaces, neural decoding, motor intention decoding, paralysis, neuroprosthetics, clinical translation
- MeSH terms
- Algorithms, Amputation, Surgical, Brain, Calibration, Electrodes, Implanted, Equipment Design, Humans, Paralysis, Signal Processing, Computer-Assisted, Brain-Computer Interfaces
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