Predicting SA-I mechanoreceptor spike times with a skin-neuron model.
about
Surface strain measurements of fingertip skin under shearing.Computational modeling indicates that surface pressure can be reliably conveyed to tactile receptors even amidst changes in skin mechanicsValidating a population model of tactile mechanotransduction of slowly adapting type I afferents at levels of skin mechanics, single-unit response and psychophysicsComputation identifies structural features that govern neuronal firing properties in slowly adapting touch receptors.Force sensor in simulated skin and neural model mimic tactile SAI afferent spiking response to ramp and hold stimuliUsing Force Sensors and Neural Models to Encode Tactile Stimuli as Spike-based ResponsesA multi-timescale adaptive threshold model for the SAI tactile afferent to predict response to mechanical vibration.Evaluating Populations of Tactile Sensors for Curvature Discrimination.Viscoelastic characterization of the primate finger pad in vivo by microstep indentation and three-dimensional finite element models for tactile sensation studies.Multiscale Mechanical Model of the Pacinian Corpuscle Shows Depth and Anisotropy Contribute to the Receptor's Characteristic Response to IndentationTactile orientation perception: an ideal observer analysis of human psychophysical performance in relation to macaque area 3b receptive fieldsEffect of 3D microstructure of dermal papillae on SED concentration at a mechanoreceptor location.A multiphysics model of the Pacinian corpuscle.Computation predicts rapidly adapting mechanotransduction currents cannot account for tactile encoding in Merkel cell-neurite complexes
P2860
Q27339791-31AA9437-20A7-40DB-BE90-9F77EC8B4AC5Q30276952-A0FB9623-DB66-4BC6-82FD-99C5AB3C224BQ30408541-4BFB8F61-0456-4C55-A5A6-3F7A6B9BC9C4Q30415180-140A1778-97AB-4BDD-8130-1ECA09D3D52EQ30423812-0411AD6F-25EC-44EC-9291-44E56EF31AC9Q30431161-A0BDB652-9211-4322-AA52-C176443A3E5AQ30431249-9CE1E2D9-4A6E-4AEB-85FF-7AFBEB2B63F3Q30431304-3EE75819-C73A-457D-90B0-08CB192E407DQ35489321-45F0C9D4-7023-405D-82FB-3E69FDDC20BCQ35781923-32DA70D3-7406-4DBA-8CAC-2AF13E1AA3E5Q36390882-0040B186-EE88-4A02-A865-4632EF9CEAB4Q47110393-C3F042BD-9DE9-4B6F-9B51-BD1DAFD1E659Q48309734-2451B46E-7077-44D1-AC2C-C966DDFD2688Q56355514-D27CCA17-0CD6-4080-9F0E-1E9A67AA6FAE
P2860
Predicting SA-I mechanoreceptor spike times with a skin-neuron model.
description
2009 nî lūn-bûn
@nan
2009 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
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
name
Predicting SA-I mechanoreceptor spike times with a skin-neuron model.
@ast
Predicting SA-I mechanoreceptor spike times with a skin-neuron model.
@en
type
label
Predicting SA-I mechanoreceptor spike times with a skin-neuron model.
@ast
Predicting SA-I mechanoreceptor spike times with a skin-neuron model.
@en
prefLabel
Predicting SA-I mechanoreceptor spike times with a skin-neuron model.
@ast
Predicting SA-I mechanoreceptor spike times with a skin-neuron model.
@en
P2860
P1476
Predicting SA-I mechanoreceptor spike times with a skin-neuron model.
@en
P2093
Daine R Lesniak
Gregory J Gerling
P2860
P356
10.1016/J.MBS.2009.03.007
P577
2009-04-09T00:00:00Z