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An Improved Unscented Kalman Filter Based Decoder for Cortical Brain-Machine InterfacesOn the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs.Inference and Decoding of Motor Cortex Low-Dimensional Dynamics via Latent State-Space Models.From point process observations to collective neural dynamics: Nonlinear Hawkes process GLMs, low-dimensional dynamics and coarse graining.Dissociation between sustained single-neuron spiking and transient β-LFP oscillations in primate motor cortex.Phase reorganization leads to transient β-LFP spatial wave patterns in motor cortex during steady-state movement preparation.
P2860
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Latent state-space models for neural decoding.
@ast
Latent state-space models for neural decoding.
@en
Latent state-space models for neural decoding.
@nl
type
label
Latent state-space models for neural decoding.
@ast
Latent state-space models for neural decoding.
@en
Latent state-space models for neural decoding.
@nl
prefLabel
Latent state-space models for neural decoding.
@ast
Latent state-space models for neural decoding.
@en
Latent state-space models for neural decoding.
@nl
P2860
P1476
Latent state-space models for neural decoding.
@en
P2093
Mehdi Aghagolzadeh
Wilson Truccolo
P2860
P304
P356
10.1109/EMBC.2014.6944262
P407
P577
2014-01-01T00:00:00Z