Creating new functional circuits for action via brain-machine interfaces
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Summary
The interpretation of BMIs as novel closed-loop systems and the benefits of these systems for studying learning are outlined and the future directions for this nascent field are proposed.
- Type
- article
- Published
- 2013-11-05
- Cited by
- 49
- References
- 95
- Access
- Open access
- OpenAlex
- https://openalex.org/W24204342
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3079865
Keywords
Kinetics, Space (punctuation), Energy (signal processing), Control theory (sociology), Physics
References
- Neural Correlates of Skill Acquisition with a Cortical Brain–Machine Interface
- Open-Loop and Closed-Loop Control for Ramp Metering in Traffic Flow
- Brain-Computer Interfaces
- Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex
- Sensory integration for reaching: models of optimality in the context of behavior and the underlying neural circuits
- Microstimulation of visual cortex to restore vision
- Volitional control of neural activity: implications for brain–computer interfaces
- Adaptive representation of dynamics during learning of a motor task
- Neuronal activity in the supplementary motor area of monkeys adapting to a new dynamic environment.
- CORTICOSTRIATAL PLASTICITY IS NECESSARY FOR LEARNING INTENTIONAL NEUROPROSTHETIC SKILLS
- Two-dimensional movement control using electrocorticographic signals in humans
- Principles of sensorimotor learning
- Operant Conditioning of Cortical Unit Activity
- Internal Models Engaged by Brain-computer Interface Control
- Cortical correlates of learning in monkeys adapting to a new dynamical environment.
- Long-term motor cortex plasticity induced by an electronic neural implant
- Restoration of grasp following paralysis through brain-controlled stimulation of muscles
- Flexible Cognitive Strategies during Motor Learning
- Reversible large–scale modification of cortical networks during neuroprosthetic control
- Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex.
Cited by
- Learning new tricks: Corticostriatal dynamics during novel skill learning
- The role of muscle synergies in myoelectric control: trends and challenges for simultaneous multifunction control
- Decoding the individual finger movements from single‐trial functional magnetic resonance imaging recordings of human brain activity
- Voluntary control of corticomuscular coherence through neurofeedback: a proof-of-principle study in healthy subjects.
- Real-time simultaneous and proportional myoelectric control using intramuscular EMG
- Closed-loop Brain-Machine-Body Interfaces for Noninvasive Rehabilitation of Movement Disorders
- Identifying Engineering, Clinical and Patient's Metrics for Evaluating and Quantifying Performance of Brain-Machine Interface (BMI) Systems
- Combining decoder design and neural adaptation in brain-machine interfaces.
- Brain-machine interfaces beyond neuroprosthetics.
- Recent insights into perceptual and motor skill learning
- Patient-Specific Cortical Electrodes for Sulcal and Gyral Implantation
- Brain-to-brain interface for real-time sharing of sensorimotor information: a commentary
- The Epistemic Value of Brain–Machine Systems for the Study of the Brain
- Brain–computer interfaces for dissecting cognitive processes underlying sensorimotor control
- Artificial feedback for invasive brain–computer interfaces
- Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors
- Intracortical Brain-Machine Interfaces Advance Sensorimotor Neuroscience
- Tactile Sensory Responses in Motor Cortex and Their Relevance to Brain-Machine Interfaces.
- Physiological properties of brain-machine interface input signals.
- Parsing learning in networks using brain-machine interfaces
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