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Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications

Yang, Shufan; McGinnity, T. Martin; Wong-Lin, KongFatt

Authors

T. Martin McGinnity

KongFatt Wong-Lin



Abstract

Psychologists have studied the inhibitory control of voluntary movement for many years. In particular, the countermanding of an impending action has been extensively studied. In this work, we propose a neural mechanism for adaptive inhibitory control in a firing-rate type model based on current findings in animal electrophysiological and human psychophysical experiments. We then implement this model on a field-programmable gate array (FPGA) prototyping system, using dedicated real-time hardware circuitry. Our results show that the FPGA-based implementation can run in real-time while achieving behavioral performance qualitatively suggestive of the animal experiments. Implementing such biological inhibitory control in an embedded device can lead to the development of control systems that may be used in more realistic cognitive robotics or in neural prosthetic systems aiding human movement control.

Journal Article Type Article
Acceptance Date May 16, 2012
Online Publication Date Jun 11, 2012
Publication Date 2012
Deposit Date Mar 11, 2021
Publicly Available Date Mar 12, 2021
Journal Frontiers in Neuroengineering
Publisher Frontiers Media
Peer Reviewed Peer Reviewed
Volume 5
DOI https://doi.org/10.3389/fneng.2012.00010
Keywords countermanding saccade, frontal eye fields, adaptive inhibitory control, FPGA, neural network model
Public URL http://researchrepository.napier.ac.uk/Output/2752371

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2012 Yang, McGinnity and Wong-Lin. This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.




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