State-based decoding of hand and finger kinematics using neuronal ensemble and LFP activity during dexterous reach-to-grasp movements.
about
Decoding methods for neural prostheses: where have we reached?What limits the performance of current invasive brain machine interfaces?Advancing brain-machine interfaces: moving beyond linear state space modelsAn Improved Unscented Kalman Filter Based Decoder for Cortical Brain-Machine InterfacesPrior Knowledge of Target Direction and Intended Movement Selection Improves Indirect Reaching Movement Decoding.High Precision Neural Decoding of Complex Movement Trajectories using Recursive Bayesian Estimation with Dynamic Movement Primitives.Principal components of hand kinematics and neurophysiological signals in motor cortex during reach to grasp movements.Local field potentials mitigate decline in motor decoding performance caused by loss of spiking units.Spatiotemporal distribution of location and object effects in reach-to-grasp kinematics.Motor cortical correlates of arm resting in the context of a reaching task and implications for prosthetic controlDecoding Grasping Movements from the Parieto-Frontal Reaching Circuit in the Nonhuman Primate.Estimating Fast Neural Input Using Anatomical and Functional Connectivity.Decoding three-dimensional reaching movements using electrocorticographic signals in humans.Decoding of finger, hand and arm kinematics using switching linear dynamical systems with pre-motor cortical ensembles.Translating the brain-machine interface.Neural control of finger movement via intracortical brain-machine interface.Neuronal Assemblies Evidence Distributed Interactions within a Tactile Discrimination Task in Rats.Prediction of movement intention using connectivity within motor-related network: An electrocorticography study.Modeling task-specific neuronal ensembles improves decoding of grasp.Continuous decoding of human grasp kinematics using epidural and subdural signals.Decoding unconstrained arm movements in primates using high-density electrocorticography signals for brain-machine interface useData-Driven Transducer Design and Identification for Internally-Paced Motor Brain Computer Interfaces: A ReviewCortical Decoding of Individual Finger Group Motions Using ReFIT Kalman Filter
P2860
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P2860
State-based decoding of hand and finger kinematics using neuronal ensemble and LFP activity during dexterous reach-to-grasp movements.
description
2013 nî lūn-bûn
@nan
2013 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի մարտին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
State-based decoding of hand a ...... rous reach-to-grasp movements.
@ast
State-based decoding of hand a ...... rous reach-to-grasp movements.
@en
type
label
State-based decoding of hand a ...... rous reach-to-grasp movements.
@ast
State-based decoding of hand a ...... rous reach-to-grasp movements.
@en
prefLabel
State-based decoding of hand a ...... rous reach-to-grasp movements.
@ast
State-based decoding of hand a ...... rous reach-to-grasp movements.
@en
P2093
P2860
P356
P1476
State-based decoding of hand a ...... rous reach-to-grasp movements.
@en
P2093
Adam G Davidson
Marc H Schieber
Mohsen Mollazadeh
Nitish V Thakor
Vikram Aggarwal
P2860
P304
P356
10.1152/JN.01038.2011
P407
P577
2013-03-27T00:00:00Z