Adaptive proactive inhibitory control for embedded real-time applications

Yang, S. , McGinnity, T. M. and Wong-Lin, K. (2012) Adaptive proactive inhibitory control for embedded real-time applications. Frontiers in Neuroengineering, 5, 10. (doi:10.3389/fneng.2012.00010) (PMID:22701420) (PMCID:PMC3371629)

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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.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Yang, Dr Shufan
Authors: Yang, S., McGinnity, T. M., and Wong-Lin, K.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Frontiers in Neuroengineering
Publisher:Frontiers Media
ISSN (Online):1662-6443
Copyright Holders:Copyright © 2012 Yang, McGinnity and Wong-Lin.
First Published:First published in Frontiers in Neuroengineering 5:10
Publisher Policy:Reproduced under a Creative Commons license

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