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Authors: Neri Accornero and Marco Capozza

Affiliation: Sapienza University, Italy

Keyword(s): Ideomotor Principle, Intentional Movement, Motor Learning, Artificial Neural Network, Simulation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Bio-Inspired and Humanoid Robotics ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neuroinformatics and Bioinformatics ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: Although the ideomotor principle (IMP), the notion positing that the nervous system initiates voluntary actions by anticipating their sensory effects, has long been around it still struggles to gain widespread acknowledgement. Supporting this theory, we present an artificial neural network model driving a simulated arm, designed as simply as possible to focus on the essential IMP features, that demonstrates by simulation how the IMP could work in biological intentional movement and motor learning. The simulation model shows that IMP motor learning is fast and effective and shares features with human motor learning. An IMP extension offers new insights into the so-called mirror neuron and canonical neuron systems.

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Paper citation in several formats:
Accornero, N. and Capozza, M. (2014). The Ideomotor Principle Simulated - An Artificial Neural Network Model for Intentional Movement and Motor Learning. In Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2014) - NCTA; ISBN 978-989-758-054-3, SciTePress, pages 226-233. DOI: 10.5220/0005081002260233

@conference{ncta14,
author={Neri Accornero. and Marco Capozza.},
title={The Ideomotor Principle Simulated - An Artificial Neural Network Model for Intentional Movement and Motor Learning},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2014) - NCTA},
year={2014},
pages={226-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005081002260233},
isbn={978-989-758-054-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2014) - NCTA
TI - The Ideomotor Principle Simulated - An Artificial Neural Network Model for Intentional Movement and Motor Learning
SN - 978-989-758-054-3
AU - Accornero, N.
AU - Capozza, M.
PY - 2014
SP - 226
EP - 233
DO - 10.5220/0005081002260233
PB - SciTePress