509 results found
    1. Neuroscience

    The impact of task context on predicting finger movements in a brain-machine interface

    Matthew J Mender, Samuel R Nason-Tomaszewski ... Cynthia A Chestek
    Task changes, like increased force production or altered posture, decrease the accuracy of brain-machine interfaces predicting intended finger movements, however, understanding how neural activity changes with the altered biomechanics of the task may provide insights for generalizable decoder development.
    1. Neuroscience

    Proprioceptive and cutaneous sensations in humans elicited by intracortical microstimulation

    Michelle Armenta Salas, Luke Bashford ... Richard A Andersen
    Electrical microstimulation of human somatosensory cortex elicited purely naturalistic proprioceptive and cutaneous sensations, with proprioceptive sensations more prominent at higher current amplitudes suggesting a relationship between amplitude and sensation type.
    1. Neuroscience

    Internal models for interpreting neural population activity during sensorimotor control

    Matthew D Golub, Byron M Yu, Steven M Chase
    A novel analysis of neural activity recorded in monkeys performing a “brain-machine interface” task reveals that a mismatch between motor effectors and the brains’ internal models of those effectors can explain a substantial portion of movement errors.
    1. Neuroscience

    Stability of motor representations after paralysis

    Charles Guan, Tyson Aflalo ... Richard A Andersen
    Neural populations in PPC dynamically represent motor-like and then sensory-like aspects of brain–computer interface finger movements with a representational structure that matches able-bodied individuals.
    1. Neuroscience

    Neural encoding of actual and imagined touch within human posterior parietal cortex

    Srinivas Chivukula, Carey Y Zhang ... Richard A Andersen
    Single neurons in human posterior parietal cortex encode actual and imagined touch within a shared neural substrate.
    1. Medicine
    2. Neuroscience

    High performance communication by people with paralysis using an intracortical brain-computer interface

    Chethan Pandarinath, Paul Nuyujukian ... Jaimie M Henderson
    New computer algorithms have allowed people with paralysis to achieve the highest reported typing performance using a brain-computer interface.
    1. Computational and Systems Biology
    2. Neuroscience

    BrainPy, a flexible, integrative, efficient, and extensible framework for general-purpose brain dynamics programming

    Chaoming Wang, Tianqiu Zhang ... Si Wu
    BrainPy presents a general-purpose programming framework that enables efficient implementation, simulation, training, and analysis of brain dynamics models across multiple organization scales, ultimately facilitating the understanding of the complex neural mechanisms underlying brain functions.
    1. Neuroscience

    Intracortical Microstimulation: Regaining the senses of touch and movement

    Victor de Lafuente
    Artificially activating certain neurons in the cortex can make a tetraplegic patient feel naturalistic sensations of skin pressure and arm movement.
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    1. Neuroscience

    Decoding gripping force based on local field potentials recorded from subthalamic nucleus in humans

    Huiling Tan, Alek Pogosyan ... Peter Brown
    Patterns of coordinated activity in the basal ganglia predict how much force we will use to grip objects, suggesting that individuals with paralysis may ultimately be able to use these signals to control graded responses in robotic devices.
    1. Neuroscience

    Perception of microstimulation frequency in human somatosensory cortex

    Christopher L Hughes, Sharlene N Flesher ... Robert A Gaunt
    Increasing microstimulation frequency in some regions of the human somatosensory cortex decreased the perceived intensity and evoked specific percepts, providing insight into cortical organization and sensory feedback approaches for brain–computer interfaces.

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