NDLI: Motor experience alters action perception through predictive learning of sensorimotor information

Content Provider	IEEE Xplore Digital Library
Author	Baraglia, J. Copete, J.L. Nagai, Y. Asada, M.
Copyright Year	2015
Description	Author affiliation: Grad. Sch. of Eng., Osaka Univ., Suita, Japan (Baraglia, J.; Copete, J.L.; Nagai, Y.; Asada, M.)
Abstract	Recent studies have revealed that infants' goal-directed action execution strongly alters their perception of similar actions performed by other individuals. Such an ability to recognize correspondences between self-experience and others' actions may be crucial for the development of higher cognitive social skills. However, there is not yet a computational model or constructive explanation accounting for the role of action generation in the perception of others' actions. We hypothesize that the sensory and motor information are integrated at a neural level through a predictive learning process. Thus, the experience of motor actions alters the representation of the sensorimotor integration, which causes changes in the perception of others' actions. To test this hypothesis, we built a computational model that integrates visual and motor (hereafter, visuomotor) information using a Recurrent Neural Network (RNN) which is capable of learning temporal sequences of data. We modeled the visual attention of the system based on a prediction error calculated as the difference between the predicted sensory values and the actual sensory values, which maximizes the attention toward not too predictable and not too unpredictable sensory information. We performed a series of experiments with a simulated humanoid robot. The experiments showed that the motor activation during self-generated actions biased the robot's perception of others' actions. These results highlight the important role of modalities integration in humans, which accounts for a biased perception of our environment based on a restricted repertoire of own experienced actions.
Starting Page	63
Ending Page	69
File Size	916326
Page Count	7
File Format	PDF
e-ISBN	9781467393201
DOI	10.1109/DEVLRN.2015.7346116
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Computational modeling Production Grasping Robot sensing systems Complexity theory
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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