The Ideomotor Principle Simulated - An Artificial Neural Network Model for Intentional Movement and Motor Learning

Neri Accornero, Marco Capozza

2014

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 Harvard Style

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 - Volume 1: NCTA, (IJCCI 2014) ISBN 978-989-758-054-3, pages 226-233. DOI: 10.5220/0005081002260233


in Bibtex Style

@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 - Volume 1: NCTA, (IJCCI 2014)},
year={2014},
pages={226-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005081002260233},
isbn={978-989-758-054-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)
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