Cited by 302Motor Control and AdaptationNeural dynamics and brain functionEEG and Brain-Computer Interfaces

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Functional network reorganization during learning in a brain-computer interface paradigm

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Jarosiewicz, Beata, Chase, Steven M., Fraser, George W., Velliste, Meel, Kass, Robert E., Schwartz, Andrew B.·2008·Proceedings of the National Academy of Sciences

DOI 10.1073/pnas.0808113105PMC PMC2614787

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Abstract

Efforts to study the neural correlates of learning are hampered by the size of the network in which learning occurs. To understand the importance of learning-related changes in a network of neurons, it is necessary to understand how the network acts as a whole to generate behavior. Here we introduce a paradigm in which the output of a cortical network can be perturbed directly and the neural basis of the compensatory changes studied in detail. Using a brain-computer interface, dozens of simultaneously recorded neurons in the motor cortex of awake, behaving monkeys are used to control the movement of a cursor in a three-dimensional virtual-reality environment. This device creates a precise, well-defined mapping between the firing of the recorded neurons and an expressed behavior (cursor movement). In a series of experiments, we force the animal to relearn the association between neural firing and cursor movement in a subset of neurons and assess how the network changes to compensate. We find that changes in neural activity reflect not only an alteration of behavioral strategy but also the relative contributions of individual neurons to the population error signal.

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Authors: Jarosiewicz, B., Chase, S. M., Fraser, G. W., Velliste, M., Kass, R. E., & Schwartz, A. B.
Affiliations: University of Pittsburgh (US)
ORCID: Jarosiewicz, Beata
Chase, Steven M.
Kass, Robert E.
Schwartz, Andrew B.
Venue: Proceedings of the National Academy of Sciences
Publisher: National Academy of Sciences
Published: 2008-12-09
Volume: 105
Issue: 49
Pages: 19486-19491
ISSN: 0027-8424 (ISSN-L)
1091-6490
DOI: 10.1073/pnas.0808113105
PMC: PMC2614787
OpenAlex: W2128675085
Cited by: 302
References: 36
Citations by year: 2026: 5 · 2025: 12 · 2024: 15 · 2023: 8 · 2022: 11 · 2021: 9 · 2020: 10 · 2019: 19 · 2018: 19 · 2017: 18 · 2016: 19 · 2015: 29 · 2014: 34 · 2013: 22 · 2012: 24
FWCI: 8.27
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Proceedings of the National Academy of Sciences (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: National Institutes of Health (5r01eb005847-04)
National Institute of Neurological Disorders and Stroke (NS-2-2346)
National Institute of Biomedical Imaging and Bioengineering (EB005847, R01-EB005847)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords: neural learning, brain-computer interface, motor cortex, single-unit recording, behavioral strategies, neural correlates of learning, monkeys
MeSH terms: Algorithms, Animals, Association Learning, Electrodes, Implanted, Macaca mulatta, Male, Models, Neurological, Motor Cortex, Neuronal Plasticity, Psychomotor Performance, User-Computer Interface, Neural Networks, Computer, Prostheses and Implants

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Functional network reorganization during learning in a brain-computer interface paradigm

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