caa a22 4500 445353163 CHVBK 20180317142851.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s00221-011-2596-0 doi (NATIONALLICENCE)springer-10.1007/s00221-011-2596-0 Testing the limits of optimal integration of visual and proprioceptive information of path trajectory [Elektronische Daten] [Johanna Reuschel, Frank Rösler, Denise Henriques, Katja Fiehler] Many studies provide evidence that information from different modalities is integrated following the maximum likelihood estimation model (MLE). For instance, we recently found that visual and proprioceptive path trajectories are optimally combined (Reuschel et al. in Exp Brain Res 201:853-862, 2010). However, other studies have failed to reveal optimal integration of such dynamic information. In the present study, we aim to generalize our previous findings to different parts of the workspace (central, ipsilateral, or contralateral) and to different types of judgments (relative vs. absolute). Participants made relative judgments by judging whether an angular path was acute or obtuse, or they made absolute judgments by judging whether a one-segmented straight path was directed to left or right. Trajectories were presented in the visual, proprioceptive, or combined visual-proprioceptive modality. We measured the bias and the variance of these estimates and predicted both parameters using the MLE. In accordance with the MLE model, participants linearly combined and weighted the unimodal angular path information by their reliabilities irrespective of the side of workspace. However, the precision of bimodal estimates was not greater than that for unimodal estimates, which is inconsistent with the MLE. For the absolute judgment task, participants' estimates were highly accurate and did not differ across modalities. Thus, we were unable to test whether the bimodal percept resulted as a weighted average of the visual and proprioceptive input. Additionally, participants were not more precise in the bimodal compared with the unimodal conditions, which is inconsistent with the MLE. Current findings suggest that optimal integration of visual and proprioceptive information of path trajectory only applies in some conditions. Springer-Verlag, 2011 Maximum likelihood estimation nationallicence Perceptual discrimination nationallicence Path trajectories nationallicence Vision nationallicence Proprioception nationallicence Reuschel Johanna Department of Experimental and Biological Psychology, Philipps-University Marburg, Gutenbergstr. 18, 35032, Marburg, Germany aut Rösler Frank Department of Experimental and Biological Psychology, Philipps-University Marburg, Gutenbergstr. 18, 35032, Marburg, Germany aut Henriques Denise School of Kinesiology and Health Science, Center for Vision Research, York University, Toronto, ON, Canada aut Fiehler Katja Department of Experimental and Biological Psychology, Philipps-University Marburg, Gutenbergstr. 18, 35032, Marburg, Germany aut Experimental Brain Research Springer-Verlag 209/4(2011-04-01), 619-630 0014-4819 209:4<619 2011 209 221 https://doi.org/10.1007/s00221-011-2596-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00221-011-2596-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Reuschel Johanna Department of Experimental and Biological Psychology, Philipps-University Marburg, Gutenbergstr. 18, 35032, Marburg, Germany aut NATIONALLICENCE 700 1- Rösler Frank Department of Experimental and Biological Psychology, Philipps-University Marburg, Gutenbergstr. 18, 35032, Marburg, Germany aut NATIONALLICENCE 700 1- Henriques Denise School of Kinesiology and Health Science, Center for Vision Research, York University, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Fiehler Katja Department of Experimental and Biological Psychology, Philipps-University Marburg, Gutenbergstr. 18, 35032, Marburg, Germany aut NATIONALLICENCE 773 0- Experimental Brain Research Springer-Verlag 209/4(2011-04-01), 619-630 0014-4819 209:4<619 2011 209 221 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer