Mixture of trajectory models for neural decoding of goal-directed movements.
about
Spiking and LFP activity in PRR during symbolically instructed reaches.Motor cortical control of movement speed with implications for brain-machine interface control.A new look at state-space models for neural data.Real-time decision fusion for multimodal neural prosthetic devices.Prior Knowledge of Target Direction and Intended Movement Selection Improves Indirect Reaching Movement Decoding.Coding of stimulus sequences by population responses in visual cortexHigh Precision Neural Decoding of Complex Movement Trajectories using Recursive Bayesian Estimation with Dynamic Movement Primitives.A study on decoding models for the reconstruction of hand trajectories from the human magnetoencephalography.Intention estimation in brain-machine interfaces.Neuronal spike train analysis in likelihood space.Bayesian models: the structure of the world, uncertainty, behavior, and the brain.Decoding with limited neural data: a mixture of time-warped trajectory models for directional reaches.Primary motor cortical discharge during force field adaptation reflects muscle-like dynamicsEfficient decoding with steady-state Kalman filter in neural interface systems.A real-time brain-machine interface combining motor target and trajectory intent using an optimal feedback control design.Motor cortical prediction of EMG: evidence that a kinetic brain-machine interface may be robust across altered movement dynamics.Brain-controlled muscle stimulation for the restoration of motor function.Real-time decoding of nonstationary neural activity in motor cortexPoint-and-click cursor control with an intracortical neural interface system by humans with tetraplegia.A state space approach for piecewise-linear recurrent neural networks for identifying computational dynamics from neural measurements.Techniques for extracting single-trial activity patterns from large-scale neural recordingsAnalysis of between-trial and within-trial neural spiking dynamics.A high-performance neural prosthesis enabled by control algorithm designA dynamical systems view of motor preparation: implications for neural prosthetic system designDetecting neural-state transitions using hidden Markov models for motor cortical prostheses.Toward optimal target placement for neural prosthetic devices.Factor-analysis methods for higher-performance neural prostheses.Decoding trajectories from posterior parietal cortex ensemblesMethods for estimating neural firing rates, and their application to brain-machine interfaces.A Sliced Inverse Regression (SIR) Decoding the Forelimb Movement from Neuronal Spikes in the Rat Motor Cortex.Real-time implementation of biofidelic SA1 model for tactile feedback.Challenges and opportunities for next-generation intracortically based neural prosthesesVelocity neurons improve performance more than goal or position neurons do in a simulated closed-loop BCI arm-reaching task.Coupling Time Decoding and Trajectory Decoding using a Target-Included Model in the Motor Cortex.Neural decoding of hand motion using a linear state-space model with hidden states.A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces.Dealing with target uncertainty in a reaching control interface.Population decoding of motor cortical activity using a generalized linear model with hidden states.Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegiaBrain-computer interface control along instructed paths.
P2860
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P2860
Mixture of trajectory models for neural decoding of goal-directed movements.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
Mixture of trajectory models for neural decoding of goal-directed movements.
@en
Mixture of trajectory models for neural decoding of goal-directed movements.
@nl
type
label
Mixture of trajectory models for neural decoding of goal-directed movements.
@en
Mixture of trajectory models for neural decoding of goal-directed movements.
@nl
prefLabel
Mixture of trajectory models for neural decoding of goal-directed movements.
@en
Mixture of trajectory models for neural decoding of goal-directed movements.
@nl
P2093
P2860
P356
P1476
Mixture of trajectory models for neural decoding of goal-directed movements.
@en
P2093
Afsheen Afshar
Byron M Yu
Caleb Kemere
Gopal Santhanam
Krishna V Shenoy
Maneesh Sahani
Stephen I Ryu
Teresa H Meng
P2860
P304
P356
10.1152/JN.00482.2006
P407
P577
2007-02-28T00:00:00Z