Miguel A L Nicolelis, Mikhail A Lebedev. Nat Rev Neurosci 2009
Times Cited: 207
Times Cited: 207
Times Cited
Times Co-cited
Similarity
Brain-machine interfaces: past, present and future.
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Learning to control a brain-machine interface for reaching and grasping by primates.
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The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.
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Active tactile exploration using a brain-machine-brain interface.
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Brain-controlled interfaces: movement restoration with neural prosthetics.
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Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys.
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Cortical control of a prosthetic arm for self-feeding.
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Neural constraints on learning.
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Instant neural control of a movement signal.
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Combining decoder design and neural adaptation in brain-machine interfaces.
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Direct cortical control of 3D neuroprosthetic devices.
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Restoring sensorimotor function through intracortical interfaces: progress and looming challenges.
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A brain-computer interface using electrocorticographic signals in humans.
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Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity.
Nathan A Fitzsimmons, Mikhail A Lebedev, Ian D Peikon, Miguel A L Nicolelis. Front Integr Neurosci 2009
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What limits the performance of current invasive brain machine interfaces?
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A brain-machine interface enables bimanual arm movements in monkeys.
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Brain-machine interfaces to restore motor function and probe neural circuits.
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A high-performance neural prosthesis enabled by control algorithm design.
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Neuronal population coding of movement direction.
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Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex.
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Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals.
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Cortical ensemble adaptation to represent velocity of an artificial actuator controlled by a brain-machine interface.
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Emergence of a stable cortical map for neuroprosthetic control.
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Future developments in brain-machine interface research.
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Chronic, multisite, multielectrode recordings in macaque monkeys.
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Extracting information from neuronal populations: information theory and decoding approaches.
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A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikes.
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Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering.
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.