Spikernels: predicting arm movements by embedding population spike rate patterns in inner-product spaces.
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Unscented Kalman filter for brain-machine interfaces.Nonlinear EEG decoding based on a particle filter modelA study on decoding models for the reconstruction of hand trajectories from the human magnetoencephalography.Comparing the feature selectivity of the gamma-band of the local field potential and the underlying spiking activity in primate visual cortex.Estimation of diffusion coefficients from voltammetric signals by support vector and gaussian process regression.Strictly positive-definite spike train kernels for point-process divergences.Improved similarity measures for small sets of spike trains.Explaining patterns of neural activity in the primary motor cortex using spinal cord and limb biomechanics models.Quantifying statistical interdependence by message passing on graphs-part I: one-dimensional point processes.Biologically-Inspired Spike-Based Automatic Speech Recognition of Isolated Digits Over a Reproducing Kernel Hilbert Space.
P2860
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P2860
Spikernels: predicting arm movements by embedding population spike rate patterns in inner-product spaces.
description
2005 nî lūn-bûn
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2005年の論文
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Spikernels: predicting arm mov ...... terns in inner-product spaces.
@en
Spikernels: predicting arm mov ...... terns in inner-product spaces.
@nl
type
label
Spikernels: predicting arm mov ...... terns in inner-product spaces.
@en
Spikernels: predicting arm mov ...... terns in inner-product spaces.
@nl
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Spikernels: predicting arm mov ...... terns in inner-product spaces.
@en
Spikernels: predicting arm mov ...... terns in inner-product spaces.
@nl
P2093
P2860
P356
P1433
P1476
Spikernels: predicting arm mov ...... terns in inner-product spaces.
@en
P2093
Eilon Vaadia
Lavi Shpigelman
Yoram Singer
P2860
P304
P356
10.1162/0899766053019944
P577
2005-03-01T00:00:00Z