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Emergence of a stable cortical map for neuroprosthetic control

PLoS biology, 2009-07, Vol.7 (7), p.e1000153-e1000153

2009

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Microstimulation Activates a Handful of Muscle Synergies

Neuron (Cambridge, Mass.), 2012-12, Vol.76 (6), p.1071-1077

2012

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Combining Decoder Design and Neural Adaptation in Brain-Machine Interfaces

Neuron (Cambridge, Mass.), 2014-11, Vol.84 (4), p.665-680

2014

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Advances in neuroprosthetic learning and control

PLoS biology, 2013-05, Vol.11 (5), p.e1001561-e1001561

Carmena, Jose M

2013

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Closed-Loop Decoder Adaptation Shapes Neural Plasticity for Skillful Neuroprosthetic Control

Neuron (Cambridge, Mass.), 2014-06, Vol.82 (6), p.1380-1393

2014

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Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering

PLoS computational biology, 2016-04, Vol.12 (4), p.e1004730-e1004730

2016

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Neural oscillations: beta band activity across motor networks

Current opinion in neurobiology, 2015-06, Vol.32, p.60-67

2015

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Beta band oscillations in motor cortex reflect neural population signals that delay movement onset

eLife, 2017-05, Vol.6

2017

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Temporally Precise Cell-Specific Coherence Develops in Corticostriatal Networks during Learning

Neuron (Cambridge, Mass.), 2013-09, Vol.79 (5), p.865-872

2013

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Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust

Neuron (Cambridge, Mass.), 2016-08, Vol.91 (3), p.529-539

2016

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Representation of Muscle Synergies in the Primate Brain

The Journal of neuroscience, 2015-09, Vol.35 (37), p.12615-12624

2015

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Neural reinforcement: re-entering and refining neural dynamics leading to desirable outcomes

Current opinion in neurobiology, 2020-02, Vol.60, p.145-154

2020

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Four ethical priorities for neurotechnologies and AI

Nature (London), 2017-11, Vol.551 (7679), p.159-163

2017

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Emergence of Coordinated Neural Dynamics Underlies Neuroprosthetic Learning and Skillful Control

Neuron (Cambridge, Mass.), 2017-02, Vol.93 (4), p.955-970.e5

2017

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Skilled independent control of individual motor units via a non-invasive neuromuscular–machine interface

Journal of neural engineering, 2021-12, Vol.18 (6), p.66019

2021

Volltextzugriff (PDF)

Reversible large-scale modification of cortical networks during neuroprosthetic control

Nature neuroscience, 2011-05, Vol.14 (5), p.662-667

2011

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Rapid control and feedback rates enhance neuroprosthetic control

Nature communications, 2017-01, Vol.8 (1), p.13825-13825, Article 13825

2017

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Model validation of untethered, ultrasonic neural dust motes for cortical recording

Journal of neuroscience methods, 2015-04, Vol.244, p.114-122

2015

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Learning to control a brain-machine interface for reaching and grasping by primates

PLoS biology, 2003-11, Vol.1 (2), p.E42-E42

2003

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In Vitro and In Vivo Evaluation of PEDOT Microelectrodes for Neural Stimulation and Recording

IEEE transactions on neural systems and rehabilitation engineering, 2011-06, Vol.19 (3), p.307-316

2011

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Oscillatory phase coupling coordinates anatomically dispersed functional cell assemblies

Proceedings of the National Academy of Sciences - PNAS, 2010-10, Vol.107 (40), p.17356-17361

2010

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Volitional modulation of optically recorded calcium signals during neuroprosthetic learning

Nature neuroscience, 2014-06, Vol.17 (6), p.807-809

2014

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Recent advances in neural dust: towards a neural interface platform

Current opinion in neurobiology, 2018-06, Vol.50, p.64-71

2018

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Head-mounted microendoscopic calcium imaging in dorsal premotor cortex of behaving rhesus macaque

Cell reports (Cambridge), 2021-06, Vol.35 (11), p.109239-109239, Article 109239

2021

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A wireless millimetre-scale implantable neural stimulator with ultrasonically powered bidirectional communication

Nature biomedical engineering, 2020-02, Vol.4 (2), p.207

2020

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Emergence of a stable cortical map for neuroprosthetic control

Microstimulation Activates a Handful of Muscle Synergies

Combining Decoder Design and Neural Adaptation in Brain-Machine Interfaces

Advances in neuroprosthetic learning and control

Closed-Loop Decoder Adaptation Shapes Neural Plasticity for Skillful Neuroprosthetic Control

Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering

Neural oscillations: beta band activity across motor networks

Beta band oscillations in motor cortex reflect neural population signals that delay movement onset

Temporally Precise Cell-Specific Coherence Develops in Corticostriatal Networks during Learning

Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust

Representation of Muscle Synergies in the Primate Brain

Neural reinforcement: re-entering and refining neural dynamics leading to desirable outcomes

Four ethical priorities for neurotechnologies and AI

Emergence of Coordinated Neural Dynamics Underlies Neuroprosthetic Learning and Skillful Control

Skilled independent control of individual motor units via a non-invasive neuromuscular–machine interface

Reversible large-scale modification of cortical networks during neuroprosthetic control

Rapid control and feedback rates enhance neuroprosthetic control

Model validation of untethered, ultrasonic neural dust motes for cortical recording

Learning to control a brain-machine interface for reaching and grasping by primates

In Vitro and In Vivo Evaluation of PEDOT Microelectrodes for Neural Stimulation and Recording

Oscillatory phase coupling coordinates anatomically dispersed functional cell assemblies

Volitional modulation of optically recorded calcium signals during neuroprosthetic learning

Recent advances in neural dust: towards a neural interface platform

Head-mounted microendoscopic calcium imaging in dorsal premotor cortex of behaving rhesus macaque

A wireless millimetre-scale implantable neural stimulator with ultrasonically powered bidirectional communication

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