Search Results - "Miller, Lee E"

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  1. 1

    Restoring sensorimotor function through intracortical interfaces: progress and looming challenges by Bensmaia, Sliman J., Miller, Lee E.

    Published in Nature reviews. Neuroscience (01-05-2014)
    “…Key Points Brain–machine interface (BMI) control of the kinematics of reaching has progressed dramatically, whereas BMI control of the hand and of the dynamics…”
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  2. 2

    Neural Manifolds for the Control of Movement by Gallego, Juan A., Perich, Matthew G., Miller, Lee E., Solla, Sara A.

    Published in Neuron (Cambridge, Mass.) (07-06-2017)
    “…The analysis of neural dynamics in several brain cortices has consistently uncovered low-dimensional manifolds that capture a significant fraction of neural…”
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  3. 3

    A Neural Population Mechanism for Rapid Learning by Perich, Matthew G., Gallego, Juan A., Miller, Lee E.

    Published in Neuron (Cambridge, Mass.) (21-11-2018)
    “…Long-term learning of language, mathematics, and motor skills likely requires cortical plasticity, but behavior often requires much faster changes, sometimes…”
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  4. 4

    Long-term stability of cortical population dynamics underlying consistent behavior by Gallego, Juan A., Perich, Matthew G., Chowdhury, Raeed H., Solla, Sara A., Miller, Lee E.

    Published in Nature neuroscience (01-02-2020)
    “…Animals readily execute learned behaviors in a consistent manner over long periods of time, and yet no equally stable neural correlate has been demonstrated…”
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  5. 5

    Estimating the dimensionality of the manifold underlying multi-electrode neural recordings by Altan, Ege, Solla, Sara A, Miller, Lee E, Perreault, Eric J

    Published in PLoS computational biology (01-11-2021)
    “…It is generally accepted that the number of neurons in a given brain area far exceeds the number of neurons needed to carry any specific function controlled by…”
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  6. 6

    Cortical population activity within a preserved neural manifold underlies multiple motor behaviors by Gallego, Juan A., Perich, Matthew G., Naufel, Stephanie N., Ethier, Christian, Solla, Sara A., Miller, Lee E.

    Published in Nature communications (12-10-2018)
    “…Populations of cortical neurons flexibly perform different functions; for the primary motor cortex (M1) this means a rich repertoire of motor behaviors. We…”
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  7. 7

    Single reach plans in dorsal premotor cortex during a two-target task by Dekleva, Brian M., Kording, Konrad P., Miller, Lee E.

    Published in Nature communications (03-09-2018)
    “…In many situations, we are faced with multiple potential actions, but must wait for more information before knowing which to perform. Movement scientists have…”
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  8. 8

    Responses of somatosensory area 2 neurons to actively and passively generated limb movements by London, Brian M, Miller, Lee E

    Published in Journal of neurophysiology (01-03-2013)
    “…Control of reaching movements requires an accurate estimate of the state of the limb, yet sensory signals are inherently noisy, because of both noise at the…”
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  9. 9

    Machine Learning for Neural Decoding by Glaser, Joshua I, Benjamin, Ari S, Chowdhury, Raeed H, Perich, Matthew G, Miller, Lee E, Kording, Konrad P

    Published in eNeuro (01-07-2020)
    “…Despite rapid advances in machine learning tools, the majority of neural decoding approaches still use traditional methods. Modern machine learning tools,…”
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  10. 10

    Area 2 of primary somatosensory cortex encodes kinematics of the whole arm by Chowdhury, Raeed H, Glaser, Joshua I, Miller, Lee E

    Published in eLife (23-01-2020)
    “…Proprioception, the sense of body position, movement, and associated forces, remains poorly understood, despite its critical role in movement. Most studies of…”
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  11. 11

    De novo motor learning creates structure in neural activity that shapes adaptation by Chang, Joanna C., Perich, Matthew G., Miller, Lee E., Gallego, Juan A., Clopath, Claudia

    Published in Nature communications (14-05-2024)
    “…Animals can quickly adapt learned movements to external perturbations, and their existing motor repertoire likely influences their ease of adaptation…”
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  12. 12

    Population coding of conditional probability distributions in dorsal premotor cortex by Glaser, Joshua I., Perich, Matthew G., Ramkumar, Pavan, Miller, Lee E., Kording, Konrad P.

    Published in Nature communications (03-05-2018)
    “…Our bodies and the environment constrain our movements. For example, when our arm is fully outstretched, we cannot extend it further. More generally, the…”
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  13. 13

    Using adversarial networks to extend brain computer interface decoding accuracy over time by Ma, Xuan, Rizzoglio, Fabio, Bodkin, Kevin L, Perreault, Eric, Miller, Lee E, Kennedy, Ann

    Published in eLife (23-08-2023)
    “…Existing intracortical brain computer interfaces (iBCIs) transform neural activity into control signals capable of restoring movement to persons with…”
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  14. 14

    Brain-controlled muscle stimulation for the restoration of motor function by Ethier, Christian, Miller, Lee E

    Published in Neurobiology of disease (01-11-2015)
    “…Abstract Loss of the ability to move, as a consequence of spinal cord injury or neuromuscular disorder, has devastating consequences for the paralyzed…”
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  15. 15

    Small, correlated changes in synaptic connectivity may facilitate rapid motor learning by Feulner, Barbara, Perich, Matthew G., Chowdhury, Raeed H., Miller, Lee E., Gallego, Juan A., Clopath, Claudia

    Published in Nature communications (02-09-2022)
    “…Animals rapidly adapt their movements to external perturbations, a process paralleled by changes in neural activity in the motor cortex. Experimental studies…”
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  17. 17

    Stoney vs. Histed: Quantifying the spatial effects of intracortical microstimulation by Kumaravelu, Karthik, Sombeck, Joseph, Miller, Lee E., Bensmaia, Sliman J., Grill, Warren M.

    Published in Brain stimulation (01-01-2022)
    “…Intracortical microstimulation (ICMS) is used to map neural circuits and restore lost sensory modalities such as vision, hearing, and somatosensation. The…”
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  18. 18

    Accurate decoding of reaching movements from field potentials in the absence of spikes by Flint, Robert D, Lindberg, Eric W, Jordan, Luke R, Miller, Lee E, Slutzky, Marc W

    Published in Journal of neural engineering (01-08-2012)
    “…The recent explosion of interest in brain-machine interfaces (BMIs) has spurred research into choosing the optimal input signal source for a desired…”
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  19. 19

    Linear-nonlinear-time-warp-poisson models of neural activity by Lawlor, Patrick N., Perich, Matthew G., Miller, Lee E., Kording, Konrad P.

    Published in Journal of computational neuroscience (01-12-2018)
    “…Prominent models of spike trains assume only one source of variability – stochastic (Poisson) spiking – when stimuli and behavior are fixed. However, spike…”
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  20. 20

    Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner by Gallego-Carracedo, Cecilia, Perich, Matthew G, Chowdhury, Raeed H, Miller, Lee E, Gallego, Juan Álvaro

    Published in eLife (15-08-2022)
    “…The spiking activity of populations of cortical neurons is well described by the dynamics of a small number of population-wide covariance patterns, whose…”
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