TY - JOUR
T1 - Causal inference in multisensory heading estimation
AU - De Winkel, Ksander N.
AU - Katliar, Mikhail
AU - Bülthoff, Heinrich H.
N1 - Publisher Copyright:
© 2017 de Winkel et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2017/1
Y1 - 2017/1
N2 - A large body of research shows that the Central Nervous System (CNS) integrates multisensory information. However, this strategy should only apply to multisensory signals that have a common cause; independent signals should be segregated. Causal Inference (CI) models account for this notion. Surprisingly, previous findings suggested that visual and inertial cues on heading of self-motion are integrated regardless of discrepancy. We hypothesized that CI does occur, but that characteristics of the motion profiles affect multisensory processing. Participants estimated heading of visual-inertial motion stimuli with several different motion profiles and a range of intersensory discrepancies. The results support the hypothesis that judgments of signal causality are included in the heading estimation process. Moreover, the data suggest a decreasing tolerance for discrepancies and an increasing reliance on visual cues for longer duration motions.
AB - A large body of research shows that the Central Nervous System (CNS) integrates multisensory information. However, this strategy should only apply to multisensory signals that have a common cause; independent signals should be segregated. Causal Inference (CI) models account for this notion. Surprisingly, previous findings suggested that visual and inertial cues on heading of self-motion are integrated regardless of discrepancy. We hypothesized that CI does occur, but that characteristics of the motion profiles affect multisensory processing. Participants estimated heading of visual-inertial motion stimuli with several different motion profiles and a range of intersensory discrepancies. The results support the hypothesis that judgments of signal causality are included in the heading estimation process. Moreover, the data suggest a decreasing tolerance for discrepancies and an increasing reliance on visual cues for longer duration motions.
UR - http://www.scopus.com/inward/record.url?scp=85009935457&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0169676
DO - 10.1371/journal.pone.0169676
M3 - Article
C2 - 28060957
AN - SCOPUS:85009935457
VL - 12
JO - PLoS One
JF - PLoS One
SN - 1932-6203
IS - 1
M1 - e0169676
ER -