Did I do that? Causal inference of authorship in goal-directed actions for impoverished stimuli
Tobias
F.
Beck1, 2, 3, 4*,
Carlo
Wilke2, 4, 5,
Barbara
Wirxel3, 4, 5,
Dominik
Endres1, 2, 3, 4, 6,
Axel
Lindner3, 4, 5 and
Martin
A.
Giese1, 2, 3, 4, 6
-
1
University Clinic Tuebingen, Cognitive Neurology, Germany
-
2
Hertie Institute for Clinical Brain Research, Germany
-
3
Bernstein Center for Computational Neuroscience Tuebingen, Germany
-
4
Center for Integrative Neuroscience Tuebingen, Germany
-
5
Cognitive Neurology, University Clinic Tuebingen, Germany
-
6
Equal Contribution, Germany
The perception of own actions is affected by visual information and internal predictions [1] of consequences to those actions. The integration of these cues depends on their accuracies [2,3], including the association of visual signals with one’s own action or with unrelated external changes [4]. This attribution of authorship should thus depend on both the consistency between predicted and actual visual consequences and their signal accuracy.
METHODS. We used a virtual-reality setup to manipulate the consistency between pointing movements and their visual consequences. Subjects were instructed to perform fast out-and-back movements with their right hand without direct vision of their hand. Instead, we presented terminal visual feedback about their movement direction. This feedback could be experimentally manipulated with rotations randomly drawn from a given set. We investigated the influence of the consistency between true movement direction and the presented feedback direction on authorship judgement while additionally impoverishing visual feedback saliency. We asked whether a causal inference model accounts for the empirical data, assuming a latent authorship-variable: if the visual stimulus was attributed to one’s own action, visual and internal information should fuse in a Bayesian optimal manner, otherwise not.
RESULTS & CONCLUSION. The model, fitted to motor responses, correctly predicts authorship-ratings, showing attribution of visual signals to self-action for small, and stronger reliance on internal information for large deviations. Presently, we test predictions of the model for variations of the visual saliency.
Acknowledgements
This work was supported by: BMBF FKZ: 01GQ1002, EC FP7-ICT grants TANGO 249858, AMARSi 248311, and DFG GI 305/4-1, DFG GZ: KA 1258/15-1.
References
[1] Wolpert et al., 1995, Science, 269, 1880-1882
[2] Burge et al., 2008, Journal of Vision, 8(4:20), 1-19
[3] Alais et al., 2004, Current Biology, Vol. 14, 257-262
[4] Körding et al., 2007, PLOSOne, 2(9)
Keywords:
bayes,
causal inference,
Graphical Model,
perception and action,
Sensomotorics
Conference:
Bernstein Conference 2012, Munich, Germany, 12 Sep - 14 Sep, 2012.
Presentation Type:
Poster
Topic:
Sensory processing and perception
Citation:
Beck
TF,
Wilke
C,
Wirxel
B,
Endres
D,
Lindner
A and
Giese
MA
(2012). Did I do that? Causal inference of authorship in goal-directed actions for impoverished stimuli.
Front. Comput. Neurosci.
Conference Abstract:
Bernstein Conference 2012.
doi: 10.3389/conf.fncom.2012.55.00073
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Received:
22 May 2012;
Published Online:
12 Sep 2012.
*
Correspondence:
Mr. Tobias F Beck, University Clinic Tuebingen, Cognitive Neurology, Tuebingen, 72076, Germany, tobias.beck@uni-tuebingen.de