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Muscle synergies evoked by microstimulation are preferentially encoded during behavior.
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- Frontiers in Computational Neuroscience, 2014, v. 8, p. 1, doi. 10.3389/fncom.2014.00020
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Physical principles for scalable neural recording.
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- Frontiers in Computational Neuroscience, 2013, p. 1, doi. 10.3389/fncom.2013.00137
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Creating new functional circuits for action via brain-machine interfaces.
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- Frontiers in Computational Neuroscience, 2013, p. 1, doi. 10.3389/fncom.2013.00157
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Physical Principles for Scalable Neural Recording.
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- Frontiers in Computational Neuroscience, 2013, v. 7, p. 1, doi. 10.3389/fncom.2013.00137
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Beta band oscillations in motor cortex reflect neural population signals that delay movement onset.
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- eLife, 2017, p. 1, doi. 10.7554/eLife.24573
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Selective modulation of cortical population dynamics during neuroprosthetic skill learning.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-20218-3
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Disentangling Multidimensional Spatio-Temporal Data into Their Common and Aberrant Responses.
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- PLoS ONE, 2015, v. 10, n. 4, p. 1, doi. 10.1371/journal.pone.0121607
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Cortical Representation of Ipsilateral Arm Movements in Monkey and Man.
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- Journal of Neuroscience, 2009, v. 29, n. 41, p. 12948, doi. 10.1523/JNEUROSCI.2471-09.2009
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Stable Ensemble Performance with Single-Neuron Variability during Reaching Movements in Primates.
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- Journal of Neuroscience, 2005, v. 25, n. 46, p. 10712, doi. 10.1523/JNEUROSCI.2772-05.2005
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Cortical Ensemble Adaptation to Represent Velocity of an Artificial Actuator Controlled by a Brain--Machine Interface.
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- Journal of Neuroscience, 2005, v. 25, n. 19, p. 4681, doi. 10.1523/JNEUROSCI.4088-04.2005
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From multiple neural cortical networks to motor mechanical behavior: the importance of inherent learning over separable space-time length scales.
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- BMC Neuroscience, 2008, v. 9, p. 1, doi. 10.1186/1471-2202-9-S1-P70
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Hybrid dedicated and distributed coding in PMd/M1 provides separation and interaction of bilateral arm signals.
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- PLoS Computational Biology, 2021, v. 17, n. 11, p. 1, doi. 10.1371/journal.pcbi.1009615
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Task-Dependent Changes in Cross-Level Coupling between Single Neurons and Oscillatory Activity in Multiscale Networks.
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- PLoS Computational Biology, 2012, v. 8, n. 12, p. 1, doi. 10.1371/journal.pcbi.1002809
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Rapid control and feedback rates enhance neuroprosthetic control.
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- Nature Communications, 2017, v. 8, n. 1, p. 13825, doi. 10.1038/ncomms13825
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Growth hormone‐releasing hormone receptor antagonists modify molecular machinery in the progression of prostate cancer.
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- Prostate, 2018, v. 78, n. 12, p. 915, doi. 10.1002/pros.23648
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Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering.
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- PLoS Computational Biology, 2016, v. 12, n. 4, p. 1, doi. 10.1371/journal.pcbi.1004730
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Advances in Neuroprosthetic Learning and Control
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- PLoS Biology, 2013, v. 11, n. 5, p. 1, doi. 10.1371/journal.pbio.1001561
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Emergence of a Stable Cortical Map for Neuroprosthetic Control.
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- PLoS Biology, 2009, v. 7, n. 7, p. 1, doi. 10.1371/journal.pbio.1000153
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Brain versus Machine Control.
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- PLoS Biology, 2004, v. 2, n. 12, p. 2027, doi. 10.1371/journal.pbio.0020430
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Brain versus Machine Control.
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- PLoS Biology, 2004, v. 2, n. 12, p. 1, doi. 10.1371/journal.pbio.0020430
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Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates.
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- PLoS Biology, 2003, v. 1, n. 10, p. 1, doi. 10.1371/journal.pbio.0000042
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Learning to Control a Brain--Machine Interface for Reaching and Grasping by Primates.
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- PLoS Biology, 2003, v. 1, n. 2, p. 193, doi. 10.1371/journal.pbio.0000042
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Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills.
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- Nature, 2012, v. 483, n. 7389, p. 331, doi. 10.1038/nature10845
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Volitional modulation of optically recorded calcium signals during neuroprosthetic learning.
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- Nature Neuroscience, 2014, v. 17, n. 6, p. 807, doi. 10.1038/nn.3712
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Reversible large-scale modification of cortical networks during neuroprosthetic control.
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- Nature Neuroscience, 2011, v. 14, n. 5, p. 662, doi. 10.1038/nn.2797
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Tumorigenic transformation of human prostatic epithelial cell line RWPE‐1 by growth hormone‐releasing hormone (GHRH).
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- Prostate, 2022, v. 82, n. 8, p. 933, doi. 10.1002/pros.24339
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Antagonist of Growth Hormone-Releasing Hormone Receptor MIA-690 Suppresses the Growth of Androgen-Independent Prostate Cancers.
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- International Journal of Molecular Sciences, 2024, v. 25, n. 20, p. 11200, doi. 10.3390/ijms252011200
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Distinct neural representations during a brain–machine interface and manual reaching task in motor cortex, prefrontal cortex, and striatum.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-44405-y
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Distinct neural representations during a brain–machine interface and manual reaching task in motor cortex, prefrontal cortex, and striatum.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-44405-y
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Estimating Doppler Shift Using Bat-Inspired Cochlear Filter Bank Models: A Comparison of Methods for Echoes from Single and Multiple Reflectors.
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- Adaptive Behavior, 2001, v. 9, n. 3/4, p. 241, doi. 10.1177/10597123010093007
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Representation of Muscle Synergies in the Primate Brain.
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- Journal of Neuroscience, 2015, v. 35, n. 37, p. 12615, doi. 10.1523/JNEUROSCI.4302-14.2015
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Function Identification in Neuron Populations via Information Bottleneck.
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- Entropy, 2013, v. 15, n. 6, p. 1587, doi. 10.3390/e15051587
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Function Identification in Neuron Populations via Information Bottleneck.
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- Entropy, 2013, v. 15, n. 5, p. 1587, doi. 10.3390/e15051587
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