Predicting myelinated axon activation using spatial characteristics of the extracellular field
about
Artificial neural network based characterization of the volume of tissue activated during deep brain stimulation.Probabilistic modeling of selective stimulation of the human sciatic nerve with a flat interface nerve electrode.Theoretical Optimization of Stimulation Strategies for a Directionally Segmented Deep Brain Stimulation Electrode Array.The neural basis of perceived intensity in natural and artificial touch.Quantifying axonal responses in patient-specific models of subthalamic deep brain stimulation.Particle swarm optimization for programming deep brain stimulation arrays.
P2860
Predicting myelinated axon activation using spatial characteristics of the extracellular field
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Predicting myelinated axon act ...... ics of the extracellular field
@ast
Predicting myelinated axon act ...... ics of the extracellular field
@en
type
label
Predicting myelinated axon act ...... ics of the extracellular field
@ast
Predicting myelinated axon act ...... ics of the extracellular field
@en
prefLabel
Predicting myelinated axon act ...... ics of the extracellular field
@ast
Predicting myelinated axon act ...... ics of the extracellular field
@en
P2093
P2860
P356
P1476
Predicting myelinated axon act ...... ics of the extracellular field
@en
P2093
P2860
P304
P356
10.1088/1741-2560/8/4/046030
P577
2011-07-13T00:00:00Z