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Cited by 186

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity

Open access
Fitzsimmons, Nathan A.·2009·Frontiers in Integrative Neuroscience

Abstract

The ability to walk may be critically impacted as the result of neurological injury or disease. While recent advances in brain-machine interfaces (BMIs) have demonstrated the feasibility of upper-limb neuroprostheses, BMIs have not been evaluated as a means to restore walking. Here, we demonstrate that chronic recordings from ensembles of cortical neurons can be used to predict the kinematics of bipedal walking in rhesus macaques - both offline and in real time. Linear decoders extracted 3D coordinates of leg joints and leg muscle electromyograms from the activity of hundreds of cortical neurons. As more complex patterns of walking were produced by varying the gait speed and direction, larger neuronal populations were needed to accurately extract walking patterns. Extraction was further improved using a switching decoder which designated a submodel for each walking paradigm. We propose that BMIs may one day allow severely paralyzed patients to walk again.

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Crossref · 10.3389/neuro.07.003.2009

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Metadata

Authors
Fitzsimmons, N. A.
Venue
Frontiers in Integrative Neuroscience
Published
2009
Volume
3
Pages
3-3
ISSN
1662-5145 (ISSN-L)
OpenAlex
W2041098005
Cited by
186
References
9
FWCI
5.33
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity. https://app.cochat.ai/papers/10.3389/neuro.07.003.2009
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Fitzsimmons, N. A. (2009). Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity. Frontiers in Integrative Neuroscience. https://doi.org/10.3389/neuro.07.003.2009

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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