Abstract
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.
| Original language | English |
|---|---|
| Article number | e0169676 |
| Journal | PLoS One |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2017 Jan 1 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Medicine(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Agricultural and Biological Sciences(all)
Cite this
Causal inference in multisensory heading estimation. / De Winkel, Ksander N.; Katliar, Mikhail; Bulthoff, Heinrich.
In: PLoS One, Vol. 12, No. 1, e0169676, 01.01.2017.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Causal inference in multisensory heading estimation
AU - De Winkel, Ksander N.
AU - Katliar, Mikhail
AU - Bulthoff, Heinrich
PY - 2017/1/1
Y1 - 2017/1/1
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.
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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 -