Population decoding of motor cortical activity using a generalized linear model with hidden states.
about
Neuroprosthetic Decoder Training as Imitation LearningLimb-state information encoded by peripheral and central somatosensory neurons: implications for an afferent interfaceAn Improved Unscented Kalman Filter Based Decoder for Cortical Brain-Machine InterfacesNeural decoding using a parallel sequential Monte Carlo method on point processes with ensemble effectDimensionality reduction for large-scale neural recordings.Single-unit activity, threshold crossings, and local field potentials in motor cortex differentially encode reach kinematics.Interfacing with the computational brainEMG prediction from motor cortical recordings via a nonnegative point-process filter.The Behavioral Relevance of Cortical Neural Ensemble Responses Emerges Suddenly.Modeling the impact of common noise inputs on the network activity of retinal ganglion cellsIntra-day signal instabilities affect decoding performance in an intracortical neural interface system.Inference and Decoding of Motor Cortex Low-Dimensional Dynamics via Latent State-Space Models.Neural representation of spatial topology in the rodent hippocampus.Sensors and decoding for intracortical brain computer interfaces.Dynamic alignment models for neural coding.Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.From point process observations to collective neural dynamics: Nonlinear Hawkes process GLMs, low-dimensional dynamics and coarse graining.Control strategies for underactuated neural ensembles driven by optogenetic stimulation.A small-world-based population encoding model of the primary visual cortex.Coupling Time Decoding and Trajectory Decoding using a Target-Included Model in the Motor Cortex.Encoding through patterns: regression tree-based neuronal population models.Real-time particle filtering and smoothing algorithms for detecting abrupt changes in neural ensemble spike activity.Likelihood methods for point processes with refractoriness.Nonlinear decoding of a complex movie from the mammalian retina.Advanced User Interfaces for Upper Limb Functional Electrical Stimulation
P2860
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P2860
Population decoding of motor cortical activity using a generalized linear model with hidden states.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
Population decoding of motor c ...... near model with hidden states.
@en
Population decoding of motor c ...... near model with hidden states.
@nl
type
label
Population decoding of motor c ...... near model with hidden states.
@en
Population decoding of motor c ...... near model with hidden states.
@nl
prefLabel
Population decoding of motor c ...... near model with hidden states.
@en
Population decoding of motor c ...... near model with hidden states.
@nl
P2093
P2860
P1476
Population decoding of motor c ...... near model with hidden states.
@en
P2093
Nicholas Hatsopoulos
Vernon Lawhern
P2860
P304
P356
10.1016/J.JNEUMETH.2010.03.024
P577
2010-03-30T00:00:00Z