About: Bayesian Integration in Force Estimation

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scientific article published on 09 June 2004

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) bài báo khoa học (vi) article scientifique publié en 2004 (fr) наукова стаття, опублікована в листопаді 2004 (uk) im November 2004 veröffentlichter wissenschaftlicher Artikel (de) artículu científicu espublizáu en xunu de 2004 (ast) scientific article published on 09 June 2004 (en)
publication date	wds:Q57398605-9CF0FC63-94A2-424D-8E4F-50332BA149B6
publication date	2004-06-09 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q57398605-DBEAD270-F756-43BC-A912-FF528F29BE27
language of work or name	English
cites work	wds:Q57398605-0605D00E-7A75-42FE-8D1A-DFD7A0A9FDE5 wds:Q57398605-07B860AA-901F-4469-97FB-FBAA523E8067 wds:Q57398605-5E78FF0E-9F32-40EC-A093-F287F5F1A6B2 wds:Q57398605-8677DA02-9132-4E88-BB48-64EB5BBA09D5 wds:Q57398605-8985885D-FC2D-444B-BE05-9A8F0D4520FD wds:Q57398605-8C77F683-59E3-49CC-8CB3-2C7FB845BAE7 wds:Q57398605-91010D70-70F4-40DB-879B-17A40813D4E2 wds:Q57398605-A6A9D2ED-5EF4-48EB-95C6-D5FF51C5FF80 wds:Q57398605-E97D94EF-DB84-4D95-8BE5-FFF9758F0182 wds:Q57398605-F4CC352D-9F33-46B6-9388-71C345715BB2
cites work	Humans integrate visual and haptic information in a statistically optimal fashion Bayesian integration in sensorimotor learning. Learning to move amid uncertainty. Bayesian models of object perception Bayesian modeling of cue interaction: bistability in stereoscopic slant perception. Role of uncertainty in sensorimotor control Combining sensory information: mandatory fusion within, but not between, senses Motion illusions as optimal percepts. Adaptive Mixtures of Local Experts Bayesian Methods: General Background
author name string	wds:Q57398605-1D89249F-B48D-459C-94DC-F5670499A45A
author name string	Shih-pi Ku
rdfs:label	Bayesian Integration in Force Estimation (en) Bayesian Integration in Force Estimation (nl)
skos:prefLabel	Bayesian Integration in Force Estimation (en) Bayesian Integration in Force Estimation (nl)
name	Bayesian Integration in Force Estimation (en) Bayesian Integration in Force Estimation (nl)
author	wds:Q57398605-17B940B8-D18E-4A23-BDEE-33D8482FBA56 wds:Q57398605-4FD8B14B-F8FF-465C-B9C7-E7B5F79BAE92
author	Konrad Körding Daniel M. Wolpert
title	wds:Q57398605-A38D670A-03C3-4D9A-B934-CCCFD9B81220
title	Bayesian integration in force estimation (en)
page(s)	wds:Q57398605-B99393BB-A381-4BBF-9BA0-D470BA2B128D
page(s)	3161-3165
instance of	wds:Q57398605-0F6312E2-732A-4C72-ADE0-C18D65C59B81
instance of	scholarly article
PubMed ID	wds:Q57398605-591DC0B9-C946-45EE-ABF6-36FFCC75C625
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/15190091
PubMed ID	15190091
published in	wds:Q57398605-E77A59C9-0605-4573-8253-B03A77F7FA0F
published in	Journal of Neurophysiology
issue	wds:Q57398605-E083FEE4-7A7F-4B04-8624-61DCF31B192C
volume	wds:Q57398605-E7BD6F8D-E904-4AA8-BE7F-9A287EFB81C1
issue	5
volume	92
DOI	wds:Q57398605-B9A860F9-EC46-4EBE-9F8D-5F82D119F7CE
DOI	http://dx.doi.org/10.1152/JN.00275.2004
DOI	10.1152/JN.00275.2004
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57398605
is cites work of	Bayesian integration of information in hippocampal place cells Fast population coding. Bayesian calibration of simultaneity in tactile temporal order judgment. Computational characterization of visually induced auditory spatial adaptation Neuronal variability: noise or part of the signal? A neural computation for visual acuity in the presence of eye movements Near optimal combination of sensory and motor uncertainty in time during a naturalistic perception-action task Bayesian approaches to sensory integration for motor control Stochastic modelling of muscle recruitment during activity Knowing how much you don't know: a neural organization of uncertainty estimates Sensory weighting of force and position feedback in human motor control tasks Environmental consistency determines the rate of motor adaptation Bayesian and "Anti-Bayesian" Biases in Sensory Integration for Action and Perception in the Size-Weight Illusion Probabilistic models in human sensorimotor control Iterative Bayesian estimation as an explanation for range and regression effects: a study on human path integration. Acquisition of multiple prior distributions in tactile temporal order judgment Testing Bayesian models of human coincidence timing. Flexible Control of Safety Margins for Action Based on Environmental Variability Does the sensorimotor system minimize prediction error or select the most likely prediction during object lifting? Material evidence: interaction of well-learned priors and sensorimotor memory when lifting objects. Maintaining rotational equilibrium during object manipulation: linear behavior of a highly non-linear system Specificity of reflex adaptation for task-relevant variability Learning from sensory and reward prediction errors during motor adaptation Evidence for stronger visuo-motor than visuo-proprioceptive conflict during mirror drawing performed by a deafferented subject and control subjects. Tactile/proprioceptive integration during arm localization is intact in individuals with Parkinson's disease The interaction of bayesian priors and sensory data and its neural circuit implementation in visually guided movement. Inference of perceptual priors from path dynamics of passive self-motion Prior experience and current goals affect muscle-spindle and tactile integration Aberrant synchrony in the somatosensory cortices predicts motor performance errors in children with cerebral palsy Fast online corrections of tripping responses. Exact feature probabilities in images with occlusion. Attention protects the fidelity of visual memory: behavioral and electrophysiological evidence A cerebellar mechanism for learning prior distributions of time intervals. Control of the strength of visual-motor transmission as the mechanism of rapid adaptation of priors for Bayesian inference in smooth pursuit eye movements Neural implementation of Bayesian inference in a sensorimotor behavior Altered sensorimotor cortical oscillations in individuals with multiple sclerosis suggests a faulty internal model. A Bayesian observer replicates convexity context effects in figure-ground perception

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