Neural decoding of hand motion using a linear state-space model with hidden states.
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Neuroprosthetic Decoder Training as Imitation LearningCoarse electrocorticographic decoding of ipsilateral reach in patients with brain lesionsSingle-trial dynamics of motor cortex and their applications to brain-machine interfacesAn Improved Unscented Kalman Filter Based Decoder for Cortical Brain-Machine InterfacesNonlinear EEG decoding based on a particle filter modelNeural decoding using a parallel sequential Monte Carlo method on point processes with ensemble effectBayesian 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.Efficient decoding with steady-state Kalman filter in neural interface systems.Sparse decoding of multiple spike trains for brain-machine interfaces.Neuron selection based on deflection coefficient maximization for the neural decoding of dexterous finger movements.EMG prediction from motor cortical recordings via a nonnegative point-process filter.An overview of Bayesian methods for neural spike train analysis.Decoding Lower Limb Muscle Activity and Kinematics from Cortical Neural Spike Trains during Monkey Performing Stand and Squat Movements.Dynamic alignment models for neural coding.Rapid classification of hippocampal replay content for real-time applications.nSTAT: open-source neural spike train analysis toolbox for Matlab.Coupling Time Decoding and Trajectory Decoding using a Target-Included Model in the Motor Cortex.Population decoding of motor cortical activity using a generalized linear model with hidden states.A framework for evaluating pairwise and multiway synchrony among stimulus-driven neurons.Hidden Markov models for the stimulus-response relationships of multistate neural systems.Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains.Paradigm Shift in Sensorimotor Control Research and Brain Machine Interface Control: The Influence of Context on Sensorimotor Representations
P2860
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P2860
Neural decoding of hand motion using a linear state-space model with hidden states.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
2009年论文
@zh
2009年论文
@zh-cn
name
Neural decoding of hand motion using a linear state-space model with hidden states.
@en
type
label
Neural decoding of hand motion using a linear state-space model with hidden states.
@en
prefLabel
Neural decoding of hand motion using a linear state-space model with hidden states.
@en
P2093
P2860
P1476
Neural decoding of hand motion using a linear state-space model with hidden states.
@en
P2093
Jayant E Kulkarni
Nicholas G Hatsopoulos
P2860
P304
P356
10.1109/TNSRE.2009.2023307
P577
2009-06-02T00:00:00Z