The DOI matches its Crossref record; 56 of the 57 references it cites were found in a registry or an index.
Optimizing the Decoding of Movement Goals from Local Field Potentials in Macaque Cortex
Open accessAbstract
The successful development of motor neuroprosthetic devices hinges on the ability to accurately and reliably decode signals from the brain. Motor neuroprostheses are widely investigated in behaving non-human primates, but technical constraints have limited progress in optimizing performance. In particular, the organization of movement-related neuronal activity across cortical layers remains poorly understood due, in part, to the widespread use of fixed-geometry multielectrode arrays. In this study, we use chronically implanted multielectrode arrays with individually movable electrodes to examine how the encoding of movement goals depends on cortical depth. In a series of recordings spanning several months, we varied the depth of each electrode in the prearcuate gyrus of frontal cortex in two monkeys as they performed memory-guided eye movements. We decode eye movement goals from local field potentials (LFPs) and multiunit spiking activity recorded across a range of depths up to 3 mm from the cortical surface. We show that both LFP and multiunit signals yield the highest decoding performance at superficial sites, within 0.5 mm of the cortical surface, while performance degrades substantially at sites deeper than 1 mm. We also analyze performance by varying bandpass filtering characteristics and simulating changes in microelectrode array channel count and density. The results indicate that the performance of LFP-based neuroprostheses strongly depends on recording configuration and that recording depth is a critical parameter limiting system performance.
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.
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?
In the citing paper
“More recent work has demonstrated the utility of high-density ECoG in decoding neural representations of speech, enabling the articulation of words and short sentences 6,69,99 .”
From The Layer 7 Cortical Interface: A Scalable and Minimally Invasive Brain–Computer Interface Platform (2022) · cites this paper as [99]
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
Seel, N. M. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_5195 · Cited by 19,482
Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873
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
Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex
Funahashi, S., Bruce, C. J., & Goldman-Rakic, P. S. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.61.2.331 · Cited by 2,685
Response of brain tissue to chronically implanted neural electrodes
Polikov, V. S., Tresco, P. A., & Reichert, W. M. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.08.015 · Cited by 1,896
Mitzdorf, U. (1985) · Physiological Reviews · doi:10.1152/physrev.1985.65.1.37 · Cited by 1,690
Cortical control of a prosthetic arm for self-feeding
Velliste, M., Perel, S., Spalding, M. C., Whitford, A. S., & Schwartz, A. B. (2008) · Nature · doi:10.1038/nature06996 · Cited by 1,591
Bunge, R. G., Keettel, W. C., & Sherman, J. K. (1954) · Fertility and Sterility · doi:10.1016/s0015-0282(16)31802-7 · Cited by 1,179
Temporal structure in neuronal activity during working memory in macaque parietal cortex
Pesaran, B., Pezaris, J. S., Sahani, M., Mitra, P. P., & Andersen, R. A. (2002) · Nature Neuroscience · doi:10.1038/nn890 · Cited by 1,071
Self-citationAnalysis of Dynamic Brain Imaging Data
Mitra, P. P., & Pesaran, B. (1999) · Biophysical Journal · doi:10.1016/s0006-3495(99)77236-x · Cited by 1,044
Self-citation
Flagged first, then by citations
1 of the 57 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Gray, 2007, A high-density, large-scale, distributed recording system for semi-chronic monitoring of cortical and sub-cortical neuronal activity in alert monkeys, Soc Neurosci Abstr, 33, 624
- Gray, 2009, A large-scale, distributed recording system for semi-chronic monitoring of cortical and sub-cortical neuronal activity in alert monkeys-iv, Soc Neurosci Abstr, 35, 390
- Gray, 2006, Semi-chronic recording of neuronal activity in monkey visual cortex using a 60-channel microdrive, Soc Neurosci Abstr, 32, 481
Cited by
Sorted by citations
Items 101–110 of 110
Advances in deep brain stimulation for Parkinson’s disease
Núñez, C. C. (2020) · doi:10.20868/upm.thesis.57988
Deep Cross-Subject Mapping of Neural ActivityPreprint
Angjelichinoski, M., Pesaran, B., & Tarokh, V. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.06407
Self-citationWong, Y. T., & Pesaran, B. (2014) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_704-1
Self-citationMarques, D. B. (2022) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.17.2022.tde-06052022-163630
Wong, Y. T., & Pesaran, B. (2022) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-0716-1006-0_704
Self-citationNeurosurgical Considerations for the Brain Computer Interface
Rosenfeld, J. V., Wong, Y. T., Szlawski, J., & Gutman, M. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_38
Self-citationEEG Signals Decoding of Freely Moving Rats Based on Support Vector Machine Algorithm
Kou, J., Sun, C., Shi, Y., Yang, L., Niu, Y., Yang, Z., Nie, Y., & Chang, J. (2024) · Asia Conference on Information Engineering (ACIE) · doi:10.1109/acie61839.2024.00023
Albrecht, S., Vandevelde, J. R., Vecchi, E., Berra, G., Bassetti, D., Stüttgen, M. C., Luhmann, H. J., & Horenko, I. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1605209
Damasse, J.-B. (2018) · theses.fr (ABES) · doi:10.70675/193e9600zb9f9z4bcazb4c1z4369b97dce0c
Bina, M. M. H., Kashefi, M., & Daliri, M. R. (2026) · Array · doi:10.1016/j.array.2026.100852
Metadata
- Authors
- Markowitz, D. A., Wong, Y. T., Gray, C. M., & Pesaran, B.
- Affiliations
- New York University (US)
- Montana State University (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-12-14
- Volume
- 31
- Issue
- 50
- Pages
- 18412-18422
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3315593
- OpenAlex
- W1978997151
- Cited by
- 110
- References
- 57
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 5 · 2023: 6 · 2022: 8 · 2021: 8 · 2020: 6 · 2019: 7 · 2018: 11 · 2017: 11 · 2016: 8 · 2015: 10 · 2014: 16 · 2013: 7 · 2012: 1
- FWCI
- 3.18
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (0955701)
- Burroughs Wellcome Fund
- McKnight Foundation
- National Institutes of Health
- National Institute of Mental Health (R01MH087882)
- National Eye Institute (T32EY007158)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- local field potentials, cortical depth, frontal cortex, microelectrode arrays, bandpass filtering, macaque
- MeSH terms
- Action Potentials, Animals, Goals, Macaca mulatta, Male, Memory, Motor Activity, Motor Cortex, Movement, Neurons, Saccades
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
