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  Vision and touch are automatically integrated for the perception of sequences of events

Ernst, M., Bresciani, J.-P., & Dammeier, F. (2006). Vision and touch are automatically integrated for the perception of sequences of events. In 7th International Multisensory Research Forum (IMRF 2006).

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D1B3-C Version Permalink: http://hdl.handle.net/21.11116/0000-0006-C4CE-5
Genre: Meeting Abstract

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 Creators:
Ernst, MO1, 2, Author              
Bresciani, J-P1, 2, Author              
Dammeier, F1, 2, Author              
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: The purpose of the present experiment was to investigate the integration of sequences of visual and tactile events. Participants were presented with sequences of visual flashes and tactile taps simultaneously and instructed to count either the flashes (session 1) or the taps (session 2). The number of flashes could differ from the number of taps by ±1. For both sessions, the perceived number of events was significantly influenced by the number of events presented in the task-irrelevant modality. Touch had a stronger influence on vision than vision on touch. Interestingly, touch was the more reliable of the two modalities – less variable estimates when presented alone. For both sessions, the perceptual estimates were less variable when stimuli were presented in both modalities than when the task-relevant modality was presented alone. These results indicate that even when one signal is explicitly task-irrelevant, sensory information tends to be automatically integrated across modalities. They also suggest that the relative weight of each sensory channel in the integration process depends on its relative reliability. The results are described using a Bayesian probabilistic model for multimodal integration that accounts for the coupling between the sensory estimates.

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 Dates: 2006-06
 Publication Status: Published online
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 Identifiers: BibTex Citekey: ErnstBD2006
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Title: 7th International Multisensory Research Forum (IMRF 2006)
Place of Event: Dublin, Ireland
Start-/End Date: 2006-06-18 - 2006-06-21

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Title: 7th International Multisensory Research Forum (IMRF 2006)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 191 Start / End Page: - Identifier: -