Andrew Fagg to Brain-Computer Interfaces
                            
                            
                                This is a "connection" page, showing publications Andrew Fagg has written about Brain-Computer Interfaces.
                            
                            
                            
                                
                                    
                                            
    
        
        
        
            Connection Strength
            
                
            
            0.796
         
        
        
     
 
    
        
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            Emergent coordination underlying learning to reach to grasp with a brain-machine interface. J Neurophysiol. 2018 04 01; 119(4):1291-1304.
            
            
                Score: 0.143
             
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            Changes in cortical network connectivity with long-term brain-machine interface exposure after chronic amputation. Nat Commun. 2017 11 27; 8(1):1796.
            
            
                Score: 0.143
             
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            Differences in motor cortical representations of kinematic variables between action observation and action execution and implications for brain-machine interfaces. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:1334-7.
            
            
                Score: 0.109
             
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            Improving brain-machine interface performance by decoding intended future movements. J Neural Eng. 2013 Apr; 10(2):026011.
            
            
                Score: 0.103
             
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            Operant conditioning of a multiple degree-of-freedom brain-machine interface in a primate model of amputation. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:303-6.
            
            
                Score: 0.102
             
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            Online adaptive decoding of intended movements with a hybrid kinetic and kinematic brain machine interface. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:1583-6.
            
            
                Score: 0.102
             
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            Compensating for delays in brain-machine interfaces by decoding intended future movement. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:4087-90.
            
            
                Score: 0.095